Smart-X: A remote-condition monitoring technology for voids, nose impact and switch movement at S&C's
Smart-X: A remote-condition monitoring technology for voids, nose impact and switch movement at S&C's
批准号:
104247
负责人:
金额:
$112.5万
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2018
资助国家:
英国
项目状态:
已结题
起止时间:
2018 至 --
中文摘要
道岔和道口(S和道口)是铁路基础设施中需要维护的最昂贵和最安全的关键资产。智能部件技术公司(SCT)及其合作伙伴伯明翰大学、CHG电气有限公司和Network Rail将通过该项目开发一种技术,可以检测S和道口的轨道空隙和测量机头冲击以及道岔机构/驱动器的状况。该设备位于已开发的更广泛的产品套件中,此外还将能够报告S和道口的整体健康状况。特别是当这些数据与从其他资产监控技术获得的其他数据输入相结合时。目标是创建一种解决方案,帮助铁路基础设施所有者,如网铁,在问题成为网络上的关键故障之前,以经济高效的方式检测和修复S公司的问题。该项目直接解决了网铁所确定的挑战,即“可靠和有弹性的交换机”。该项目的成果将改进自动化检查方法,帮助进行预测性维护,同时进一步了解切换磨损和损坏的前兆。实现上述目标将有助于保持客运和货运列车的平稳运行,并防止发生灾难性事件,如脱轨。
英文摘要
Switches & Crossings' (S&C's) are the costliest and most safety critical asset within the rail infrastructure to maintain.Smart Component Technologies (SCT), and their collaborators University of Birmingham, CHG Electrical Ltd and Network Rail, will develop through this project a technology that can detect track voids and measure nose impact at S&C's, as well as condition of the switch mechanism/drive.This device, which sits within a wider suite of products that have already been developed, will additionally be able to report on the overall health of the S&C, especially when this data is combined with other data inputs gained from additional asset monitoring technologies.The objective is to create a solution that helps rail infrastructure owners, such as Network Rail, to detect and remedy problems at S&C's in a cost-effective manner before they become a critical failure on the network.The project directly addresses challenges identified by Network Rail for 'Reliable and Resilient Switches'. The project outputs will improve automated inspection methods, helping predictive maintenance, whilst furthering understanding of precursors to switch wear and damage.Achieving the above will help keep passenger and freight trains running smoothly, as well as prevent catastrophic events, such as derailments.
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国内基金
海外基金
Identification and quantification of primary phytoplankton functional types in the global oceans from hyperspectral ocean color remote sensing
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批准号:--
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项目类别:--
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资助金额:160万元
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批准年份:2022
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负责人:李忠平
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依托单位:
低纬度边缘海颗粒有机碳的卫星遥感算法研究
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批准号:41076114
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项目类别:面上项目
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资助金额:54.0万元
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批准年份:2010
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负责人:王海黎
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依托单位: