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 年魁北克梅甘提克湖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货运铁路性能的认识，尽管这一特定事件的原因与铁路或轨道没有直接关系。众所周知，基础设施状况是导致列车脱轨的一个因素，因此，尽管部署和部署方面取得了显着改善，但轨道基础设施状况仍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。尽管铁路监测技术的复杂性，但在监测能力的空间和时间范围、对铁路磨损根本原因的理解、有助于预测未来状况的铁路磨损趋势知识以及以以下方式集成大型但通常不同的数据集的能力方面仍然存在差距：支持更主动的管理决策。拟议的研究旨在通过增强先进铁路管理（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对复杂力量的主动监控和管理来提高货运铁路绩效，相互作用和发生的磨损该研究的重点是：(1) 增强分析磨损钢轨的能力，并支持有关如何通过主动钢轨打磨最好地重塑磨损钢轨的决策；(2) 提高对轨道和车轮的了解。所提出的研究方法需要协作研究团队提供先进的技术技能和务实知识。这项研究支持主动的、数据驱动的铁路维护和管理计划，以提高加拿大的生产力、安全性和效率。货运铁路行业当铁路行业以这些方式受益时，行业托运人、加拿大消费者和加拿大经济都可以直接节省资金。