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Automatic Full Weld Inspection System for High Speed Rail(TrackBot) Theme: 37

高铁自动全焊缝检测系统(TrackBot) 主题：37

基本信息

批准号：
104005
负责人：
金额：
$ 48.15万
依托单位：
INNOVATIVE TECHNOLOGY AND SCIENCE LIMITED
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
起止时间：
2018 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=104005
关键词：
Automatic Full Weld Inspection System

项目摘要

Our railways are vital for the smooth operation of internal and trans border markets, and for the development of a sustainable and clean transport system. Building modern, competitive railway networks is therefore becoming a top priority for the UK, China and the rest of the world. To build and maintain safe high speed networks brings its own challenges. According to Scientific American, most rail accidents are due to broken rails and welds. Failure generally initiates from defects in the weld such as fatigue cracks, dead zones and flat spots. Despite these worrying statistics, some countries such as China still rely mainly on manual weld inspections, which is a slow, inconsistent and inadequate approach that is prone to human error. For defect detection in rail, the most common methods are ultrasonic and magnetic induction, which are slow and lack the ability to inspect the full volume of the weld. Phased array ultrasonic testing (PAUT) is an advanced NDT technique, with the capability to detect any faults within a weld. The consortium will develop TrackBot, an advanced automated universal weld inspection system that is based upon proprietary PAUT technology and systems developed by each of the consortium partners. TrackBot can rapidly detect all types of flaws in the full weld volume, increase inspection speeds, and reduce the number of skilled persons required to deliver efficient inspection and rail networks. In doing so, the consortium partners will generate combined revenue of £22.6million and deliver significant (>5x fold) return on investment.

我们的铁路对国内和跨境市场的顺利运作，以及对发展可持续和清洁的运输系统至关重要。因此，建设现代化、有竞争力的铁路网络正成为英国、中国和世界其他国家的首要任务。构建和维护安全的高速网络带来了自身的挑战。据《科学美国人》报道，大多数铁路事故是由于铁轨断裂和焊接造成的。故障通常从焊缝中的缺陷开始，例如疲劳裂纹、死区和平点。尽管有这些令人担忧的统计数据，但中国等一些国家仍然主要依赖人工焊缝检测，这是一种缓慢、不一致和不充分的方法，容易出现人为错误。对于钢轨的缺陷检测，最常用的方法是超声波和磁感应，这是缓慢的，缺乏能力，以检查整个体积的焊缝。相控阵超声检测（PAUT）是一种先进的无损检测技术，具有检测焊缝内任何缺陷的能力。该财团将开发TrackBot，这是一种先进的自动通用焊缝检测系统，基于每个财团合作伙伴开发的专有PAUT技术和系统。TrackBot可以快速检测整个焊缝体积中的所有类型的缺陷，提高检测速度，并减少提供高效检测和铁路网络所需的熟练人员数量。在此过程中，财团合作伙伴将产生2260万英镑的综合收入，并提供显着的（> 5倍）投资回报。