Proactive monitoring and management of the wheel-rail interface for improved freight rail performance

主动监控和管理轮轨界面，以提高货运铁路性能

• 批准号: 479318-2015
• 负责人: Regehr, Jonathan
• 金额: $ 1.93万
• 依托单位: University of Manitoba
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=580021
• 关键词: Proactive; monitoring; management; wheel; rail

The train derailment at Lac-Mégantic, Québec in 2013 raised awareness in Canada (and across North America) about freight rail safety and, more generally, freight rail performance. While the cause of this particular incident has not been directly linked to rail or track issues, infrastructure condition is a known contributor to train derailments. As such, track infrastructure condition is regulated and carefully monitored to ensure various parameters do not exceed prescribed regulatory thresholds. However, despite marked improvements in the deployment and sophistication of rail monitoring technologies, gaps remain concerning the spatial and temporal extent of monitoring capabilities, the understanding of the underlying causes of rail wear, knowledge of rail wear trends to help predict future conditions, and the ability to integrate large but often disparate datasets in ways that support more proactive management decisions. The proposed research aims to help address these gaps by enhancing the capacity of Advanced Rail Management (Canada) Inc. The purpose of the proposed research is to improve freight rail performance through proactive monitoring and management of the complex forces, interactions, and wear that occur at the interface between the rail and the railcars' wheels. The research focuses on: (1) enhancing capabilities to analyze worn rail and support decisions about how best to re-shape worn rail through proactive rail grinding; and (2) improving knowledge about the track and rail traffic factors that affect rail wear. The proposed research approach requires advanced technical skills and pragmatic knowledge delivered by a collaborative research team. This research supports proactive, data-driven rail maintenance and management programs that improve the productivity, safety, and efficiency of Canada's freight rail industry . When the rail industry benefits in these ways, there are direct financial savings for industry shippers, Canadian consumers, and the Canadian economy.

2013年魁北克省梅甘蒂克湖的火车出轨事件引起了加拿大（以及整个北美）的关注。 关于货运铁路安全，以及更一般的货运铁路性能。虽然这个特殊的原因 事故与铁路或轨道问题没有直接联系，基础设施状况是造成 火车出轨因此，轨道基础设施状况受到监管和仔细监控，以确保各种 参数不超过规定的监管阈值。然而，尽管在这方面有了明显的改善， 尽管铁路监测技术的部署和复杂程度有所提高，但在空间和 监测能力的时间范围，对钢轨磨损根本原因的了解， 铁路磨损趋势，以帮助预测未来的条件，并能够整合大型，但往往是不同的数据集 以支持更积极主动的管理决策。拟议的研究旨在帮助解决这些问题 通过提高先进铁路管理（加拿大）公司的能力， 拟议研究的目的是通过主动监测和 管理复杂的力量，相互作用，和磨损发生在铁轨和之间的接口， 轨道车的轮子研究的重点是：（1）提高分析钢轨磨损和支持决策的能力 关于如何最好地通过积极的钢轨打磨来重新塑造磨损的钢轨;以及（2）提高对 影响钢轨磨损的轨道和铁路交通因素。研究方法需要先进的技术 技能和务实的知识由一个合作研究团队提供。 这项研究支持主动的、数据驱动的铁路维护和管理计划， 加拿大货运铁路行业的生产力、安全性和效率。当铁路行业受益于这些 无论如何，对行业托运人、加拿大消费者和加拿大经济来说，都有直接的财政节省。