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: $ 1.77万
• 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: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=618012
• 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 particularincident has not been directly linked to rail or track issues, infrastructure condition is a known contributor totrain derailments. As such, track infrastructure condition is regulated and carefully monitored to ensure variousparameters do not exceed prescribed regulatory thresholds. However, despite marked improvements in thedeployment and sophistication of rail monitoring technologies, gaps remain concerning the spatial andtemporal extent of monitoring capabilities, the understanding of the underlying causes of rail wear, knowledgeof rail wear trends to help predict future conditions, and the ability to integrate large but often disparate datasetsin ways that support more proactive management decisions. The proposed research aims to help address thesegaps 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 andmanagement of the complex forces, interactions, and wear that occur at the interface between the rail and therailcars' wheels. The research focuses on: (1) enhancing capabilities to analyze worn rail and support decisionsabout how best to re-shape worn rail through proactive rail grinding; and (2) improving knowledge about thetrack and rail traffic factors that affect rail wear. The proposed research approach requires advanced technicalskills and pragmatic knowledge delivered by a collaborative research team.This research supports proactive, data-driven rail maintenance and management programs that improve theproductivity, safety, and efficiency of Canada's freight rail industry . When the rail industry benefits in theseways, there are direct financial savings for industry shippers, Canadian consumers, and the Canadian economy.

2013年发生在加拿大（以及整个北美）的lac - msamube的火车脱轨事件，提高了加拿大（以及整个北美）对货运铁路安全以及更普遍的货运铁路性能的认识。虽然这一特殊事件的原因与铁路或轨道问题没有直接联系，但基础设施状况是造成火车出轨的一个已知因素。因此，轨道基础设施状况受到监管和仔细监测，以确保各种参数不超过规定的监管阈值。然而，尽管铁路监测技术的部署和复杂程度有了显著改善，但在监测能力的时空范围、对铁路磨损潜在原因的理解、对铁路磨损趋势的了解以帮助预测未来状况、以及以支持更主动的管理决策的方式整合大量但通常不同的数据集的能力方面，差距仍然存在。拟议的研究旨在通过提高先进铁路管理（加拿大）公司的能力来帮助解决这些差距。拟议研究的目的是通过主动监测和管理轨道和机车车轮之间界面发生的复杂力、相互作用和磨损来改善货运铁路的性能。研究的重点是：(1)增强对磨损钢轨的分析能力，并支持如何通过主动磨轨重塑磨损钢轨的最佳决策；(2)提高对影响钢轨磨损的轨道和轨道交通因素的认识。建议的研究方法需要先进的技术技能和由合作研究团队提供的实用知识。这项研究支持前瞻性的、数据驱动的铁路维护和管理计划，以提高加拿大货运铁路行业的生产力、安全性和效率。当铁路行业在这些方面受益时，对行业托运人、加拿大消费者和加拿大经济都有直接的财政节省。