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

2013年魁北克省Lac-Mégantic的火车脱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，更广泛地说，货运铁路性能。虽然导致这一特殊情况的原因 事故与铁路或轨道问题没有直接联系，基础设施状况是已知的因素 火车脱轨。因此，轨道基础设施的状况受到监管和仔细监测，以确保 参数不超过规定的监管门槛。然而，尽管有明显的改善， 铁路监测技术的部署和完善，在空间和空间方面的差距仍然存在 监测能力的时间范围，对钢轨磨损根本原因的了解，知识 帮助预测未来状况的钢轨磨损趋势，以及集成大型但往往不同的数据集的能力 以支持更积极主动的管理决策的方式。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)公司的运力来弥补差距。 拟议研究的目的是通过主动监测和改善货运铁路的性能 管理在钢轨和钢轨之间的交界处发生的复杂的力、相互作用和磨损 轨道车辆的轮子。研究内容主要集中在：(1)提高钢轨磨损分析和决策支持能力 关于如何通过主动钢轨磨削重塑磨损钢轨的最佳方法；以及(2)提高对钢轨磨耗的认识 影响钢轨磨损的轨道和轨道交通因素。建议的研究方法需要先进的技术 由合作研究团队提供的技能和实用知识。 这项研究支持主动的、数据驱动的铁路维护和管理计划，以改善 加拿大货运铁路业的生产率、安全性和效率。当铁路行业在这些方面受益时 通过这种方式，行业托运人、加拿大消费者和加拿大经济可以直接节省资金。

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.