A new MEMS sensor for rail safety monitoring

用于铁路安全监测的新型 MEMS 传感器

• 批准号: 531232-2018
• 负责人: Take, WilliamAndrew
• 金额: $ 1.82万
• 依托单位: Queen's University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=666424
• 关键词: new; MEMS; sensor; rail; safety

Railway transportation networks are a critical element of Canada's economy. These linear infrastructure**corridors must safely transport natural resources, raw materials, manufactured goods, and passengers over areas**of long-term track movements due to poor soil conditions, landslide hazards, and urban hazards such as**underground construction. To do this, the geometry of the track (e.g. cross-level, gauge, and warp) must be**maintained within allowable limits in order for maximum permissible track speeds to be maintained and**derailment risk to be minimized. In areas of moving ground, regular monitoring of track geometry is required**to schedule track maintenance to correct track geometry and ensure safety. However, in areas of critical**importance (e.g. a tunnel being bored in the soil under the track), weekly or even daily track inspections may**not be sufficient to capture the onset of accelerating track movements. There is therefore a world-wide market**for a new sensor technology that can monitor track geometry in near real-time (e.g. every 10 minutes) in these**critical areas. The objective of this Engage grant is to partner the innovative rail monitoring capabilities**developed at Queen's University (e.g. vibration-isolated high-speed imaging and distributed fibre optic sensing)**with the world-leader in geotechnical MEMS ground deformation sensors (Measurand Inc.) to perform a field**trial of Measurand's new prototype MEMS rail monitoring sensor to a) assess detection limits of track**geometry changes under real-world conditions, and b) to improve our fundamental scientific understanding of**the mechanism of track deterioration; in particular, to test the hypothesis that the rate of track deterioration can**be used to form the basis of an early warning system to protect against future unsafe track geometry.

铁路运输网络是加拿大经济的重要组成部分。这些线性基础设施 ** 走廊必须安全地运输自然资源、原材料、制成品和乘客，经过由于土壤条件差、滑坡危险和城市危险（如 ** 地下施工）而长期轨道运动的区域 **。为此，轨道的几何形状（例如，横向水平、轨距和翘曲）必须 ** 保持在允许的限度内，以保持最大允许轨道速度，并 ** 将脱轨风险降至最低。在移动地面区域，需要定期监测轨道几何形状 **，以安排轨道维护，纠正轨道几何形状并确保安全。然而，在关键的重要区域（例如，在轨道下的土壤中钻挖隧道），每周甚至每天的轨道检查可能不足以捕捉加速轨道运动的开始。因此，在这些 ** 关键区域，可以近实时（例如每10分钟）监测轨道几何形状的新传感器技术在全球范围内具有市场 **。这项Engage赠款的目的是将皇后大学开发的创新铁路监测能力 **（例如振动隔离高速成像和分布式光纤传感）** 与世界领先的岩土MEMS地面变形传感器（Measurand Inc.）对Measurand的新型原型MEMS轨道监测传感器进行现场 ** 试验，以a）评估现实条件下轨道 ** 几何形状变化的检测极限，以及B）提高我们对轨道劣化机制的基本科学理解;特别是，为了检验轨道退化率可以 ** 的假设，用于形成预警系统的基础，以防止未来不安全的轨道几何形状。