• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

用于状态监测和高级运行的货运列车数字化

Freight Wagon Digitalization for Condition Monitoring and Advanced Operation.

作者信息

Moya Iker, Perez Alejandro, Zabalegui Paul, de Miguel Gorka, Losada Markos, Amengual Jon, Adin Iñigo, Mendizabal Jaizki

机构信息

CEIT-Basque Research and Technology Alliance (BRTA), Manuel Lardizabal 15, 20018 Donostia/San Sebastián, Spain.

Universidad de Navarra, Tecnun, Manuel Lardizabal 13, 20018 Donostia/San Sebastián, Spain.

出版信息

Sensors (Basel). 2023 Aug 27;23(17):7448. doi: 10.3390/s23177448.

DOI:10.3390/s23177448
PMID:37687904
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10490569/
Abstract

Traditionally, freight wagon technology has lacked digitalization and advanced monitoring capabilities. This article presents recent advancements in freight wagon digitalization, covering the system's definition, development, and field tests on a commercial line in Sweden. A number of components and systems were installed on board on the freight wagon, leading to the intelligent freight wagon. The digitalization includes the integration of sensors for different functions such as train composition, train integrity, asset monitoring and continuous wagon positioning. Communication capabilities enable data exchange between components, securely stored and transferred to a remote server for access and visualization. Three digitalized freight wagons operated on the Nässjo-Falköping line, equipped with strategically placed monitoring sensors to collect valuable data on wagon performance and railway infrastructure. The field tests showcase the system's potential for detecting faults and anomalies, signifying a significant advancement in freight wagon technology, and contributing to an improvement in freight wagon digitalization and monitoring. The gathered insights demonstrate the system's effectiveness, setting the stage for a comprehensive monitoring solution for railway infrastructures. These advancements promise real-time analysis, anomaly detection, and proactive maintenance, fostering improved efficiency and safety in the domain of freight transportation, while contributing to the enhancement of freight wagon digitalization and supervision.

摘要

传统上,货运列车技术缺乏数字化和先进的监测能力。本文介绍了货运列车数字化的最新进展,涵盖了该系统的定义、开发以及在瑞典一条商业线路上的现场测试。在货运列车上安装了许多组件和系统,从而形成了智能货运列车。数字化包括集成用于不同功能的传感器,如列车编组、列车完整性、资产监测和货车连续定位。通信能力使组件之间能够进行数据交换,数据被安全存储并传输到远程服务器以供访问和可视化。三辆数字化货运列车在奈雪平-法尔肯贝里线路上运行,配备了经过战略布局的监测传感器,以收集有关货车性能和铁路基础设施的宝贵数据。现场测试展示了该系统检测故障和异常的潜力,标志着货运列车技术的重大进步,并有助于提高货运列车的数字化和监测水平。收集到的见解证明了该系统的有效性,为铁路基础设施的全面监测解决方案奠定了基础。这些进步有望实现实时分析、异常检测和主动维护,提高货运领域的效率和安全性,同时有助于加强货运列车的数字化和监管。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0c/10490569/62aa739999d8/sensors-23-07448-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0c/10490569/ea12e5af8f19/sensors-23-07448-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0c/10490569/b4197b4631a5/sensors-23-07448-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0c/10490569/bd4e10c80f77/sensors-23-07448-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0c/10490569/4e6f13d76ffb/sensors-23-07448-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0c/10490569/58727a8dbcf2/sensors-23-07448-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0c/10490569/61f4d9a2f92f/sensors-23-07448-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0c/10490569/5351b7231e6b/sensors-23-07448-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0c/10490569/a064f4e1bd8c/sensors-23-07448-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0c/10490569/d3bb1c8c01eb/sensors-23-07448-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0c/10490569/d89626b74f6f/sensors-23-07448-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0c/10490569/e2cac6afba34/sensors-23-07448-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0c/10490569/25e972e82fd8/sensors-23-07448-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0c/10490569/1f85888c5c3d/sensors-23-07448-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0c/10490569/e6baa5292690/sensors-23-07448-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0c/10490569/f860b890cbcd/sensors-23-07448-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0c/10490569/be4f717bf385/sensors-23-07448-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0c/10490569/62aa739999d8/sensors-23-07448-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0c/10490569/ea12e5af8f19/sensors-23-07448-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0c/10490569/b4197b4631a5/sensors-23-07448-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0c/10490569/bd4e10c80f77/sensors-23-07448-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0c/10490569/4e6f13d76ffb/sensors-23-07448-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0c/10490569/58727a8dbcf2/sensors-23-07448-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0c/10490569/61f4d9a2f92f/sensors-23-07448-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0c/10490569/5351b7231e6b/sensors-23-07448-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0c/10490569/a064f4e1bd8c/sensors-23-07448-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0c/10490569/d3bb1c8c01eb/sensors-23-07448-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0c/10490569/d89626b74f6f/sensors-23-07448-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0c/10490569/e2cac6afba34/sensors-23-07448-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0c/10490569/25e972e82fd8/sensors-23-07448-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0c/10490569/1f85888c5c3d/sensors-23-07448-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0c/10490569/e6baa5292690/sensors-23-07448-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0c/10490569/f860b890cbcd/sensors-23-07448-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0c/10490569/be4f717bf385/sensors-23-07448-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0c/10490569/62aa739999d8/sensors-23-07448-g017.jpg

相似文献

1
Freight Wagon Digitalization for Condition Monitoring and Advanced Operation.用于状态监测和高级运行的货运列车数字化
Sensors (Basel). 2023 Aug 27;23(17):7448. doi: 10.3390/s23177448.
2
A novel method for evaluating load restraint assemblies to ensure the safety of railway freight transportation.一种评估负载约束组件以确保铁路货运安全的新方法。
Sci Rep. 2024 Feb 26;14(1):4612. doi: 10.1038/s41598-024-54772-9.
3
Optimized design to adverse transportation conditions for railway freight system.优化铁路货运系统以适应不利的运输条件。
Accid Anal Prev. 2021 May;154:106091. doi: 10.1016/j.aap.2021.106091. Epub 2021 Mar 16.
4
Study on the Strength of the Brake Pad of a Freight Wagon under Uneven Loading in Operation.货车制动闸瓦在运用中不均匀加载时的强度研究
Sensors (Basel). 2024 Jan 11;24(2):0. doi: 10.3390/s24020463.
5
Fatigue Crack Propagation of 51CrV4 Steels for Leaf Spring Suspensions of Railway Freight Wagons.铁路货车板簧悬架用51CrV4钢的疲劳裂纹扩展
Materials (Basel). 2024 Apr 16;17(8):1831. doi: 10.3390/ma17081831.
6
Energy Autonomous Wireless Sensor Nodes for Freight Train Braking Systems Monitoring.用于货运列车制动系统监测的能量自主无线传感器节点。
Sensors (Basel). 2022 Feb 27;22(5):1876. doi: 10.3390/s22051876.
7
Data-driven forwarding: a typology of digital platforms for road freight transport management.数据驱动型转发:公路货运运输管理数字平台的类型学
Electron Mark. 2022;32(2):807-828. doi: 10.1007/s12525-022-00540-4. Epub 2022 Apr 18.
8
Treatment of the railway freight wagon wash effluents by coagulation methods on accelator reactor.在加速反应堆上采用混凝法处理铁路货车洗刷废水。
J Environ Health Sci Eng. 2021 Jul 6;19(2):1399-1412. doi: 10.1007/s40201-021-00695-w. eCollection 2021 Dec.
9
Railway wagon bearing fault diagnosis method based on improved sparrow search algorithm optimizing variational mode decomposition and multi-level convolutional neural network.基于改进麻雀搜索算法优化变分模态分解和多级卷积神经网络的铁路货车轴承故障诊断方法
Rev Sci Instrum. 2024 Apr 1;95(4). doi: 10.1063/5.0191209.
10
Exposure-response relationships for annoyance due to freight and passenger railway vibration exposure in residential environments.居住环境中货运和客运铁路振动暴露引起的烦恼的暴露-反应关系。
J Acoust Soc Am. 2014 Jan;135(1):205-12. doi: 10.1121/1.4836115.

引用本文的文献

1
Active RFID Wake-Up Receiver Subsystem for Freight Wagon Localization Devices.用于货车定位设备的有源射频识别唤醒接收器子系统
Sensors (Basel). 2025 Feb 13;25(4):1124. doi: 10.3390/s25041124.

本文引用的文献

1
Fusing Expert Knowledge with Monitoring Data for Condition Assessment of Railway Welds.融合专家知识与监测数据的铁路焊缝状态评估。
Sensors (Basel). 2023 Feb 28;23(5):2672. doi: 10.3390/s23052672.
2
Condition Monitoring of Rail Transport Systems: A Bibliometric Performance Analysis and Systematic Literature Review.轨道运输系统的状态监测:文献计量绩效分析与系统文献综述。
Sensors (Basel). 2021 Jul 9;21(14):4710. doi: 10.3390/s21144710.