An AI enabled IoT sensor to monitor railway tracks, identify earthworks failures 90% faster and reduce dangerous on-track person-hours

An%20AI%20enabled%20IoT%20sensor%20to%20monitor%20railway%20tracks、%20identify%20earthworks%20failures%2090%%20faster%20and%20reduce%20dangerous%20on-track%20person-hours

• 批准号: 10077750
• 金额: $ 37.41万
• 依托单位: OSPREY MEASUREMENT SYSTEMS INTERNATIONAL LTD
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10077750
• 关键词: AI; enabled; IoT; sensor; monitor

Osprey is a UK-based smart infrastructure SME with a core project team of Daniel Scott (Technical Lead) and Peter Scott (Product Owner/Operations Director).The annual direct and indirect costs of landslides and other earthwork failures are significant in terms of safety risks for rail passengers and trains as well as economic implications. Identifying these failures early is critical to rail safety. To this end, Osprey is developing Geo-Alarm, an IoT sensor that is easy and cost-effective to deploy and provides rapid alert to geotechnical activity. This project directly responds to Network Rail's Challenge Statement: "Detection of asset failure by means other than train drivers" and offers an alternative to existing solutions that is more cost effective, easier to deploy, has lower environmental impact, is less prone to damage, and easier to maintain.

Osprey 是一家总部位于英国的智能基础设施中小企业，其核心项目团队由 Daniel Scott（技术负责人）和 Peter Scott（产品负责人/运营总监）组成。山体滑坡和其他土方工程故障的年度直接和间接成本在安全方面非常重要铁路乘客和火车的风险以及经济影响。及早识别这些故障对于铁路安全至关重要。为此，Osprey 正在开发 Geo-Alarm，这是一种易于部署且经济高效的物联网传感器，可为岩土工程活动提供快速警报。该项目直接响应 Network Rail 的挑战声明：“通过火车司机以外的方式检测资产故障”，并提供现有解决方案的替代方案，该解决方案更具成本效益、更易于部署、对环境影响较小、不易损坏，并且更容易维护。