Design feasibility for train inspection using vision sensors

使用视觉传感器进行列车检测的设计可行性

• 批准号: 10024818
• 金额: $ 6.37万
• 依托单位: RAIL VISION EUROPE LTD
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10024818
• 关键词: Design; feasibility; train; inspection; using

Current practice for preventive maintenance inspections of rolling stock over Indian Railways network and in many other parts of the world is largely based on manual inspection which is either trackside or pit examination of stock in stationary or slow moving condition. Visual inspections are performed by trained manpower either in a pit or trackside location but remains dependent on individual judgment. Besides, the stationary inspection deprives the maintenance staff of significant information of dynamic behavior of the vehicle. Automated inspection by machine vision based systems has the potential to overcome these limitations of human inspection. The systems can be placed closer to the track or between the rails where it may be considered unsafe for a human to be positioned when a train passes. A number of defects may be automatically detected using a combination of visual sensors and automated analytics; these may include side view defects on missing and broken components related to axle, wheel disc, wagon doors, springs, shock absorbers, wheels, brake pads; underframe defects on malfunctioning electrical components, cracked components, oil leakage, hanging parts etc., and top view defects including deformed side walls and hanging doors of wagons. Current market solutions are limited in their coverage and performance. As a part of this project, Rail Vision will adapt its existing highly successful technology for track inspection to work for train inspection. It will focus on adapting the electro-mechanical interfaces, sensor positioning and sensor triggering modules for high quality data acquisition of moving trains. It will collaborate with two key customers in India to adapt the technology and is expected to receive future funding from them and other sources to manufacture and trial out the technology at their end. It will also apply for patents in this area to cover its intellectual property. Once the technology is trialled and tested, Rail Vision shall be able to export this technology to a range of international markets.

印度铁路网和世界上许多其他地方的铁路车辆预防性维护检查的现行做法主要是基于人工检查，即在静止或缓慢移动条件下对车辆进行轨旁或坑内检查。目视检查由经过培训的人员在坑内或轨道旁进行，但仍取决于个人判断。此外，静态检查剥夺了维护人员对车辆动态行为的重要信息。基于机器视觉的自动检测系统有可能克服人类检测的这些局限性。该系统可以放置在更靠近轨道或铁轨之间的地方，当火车经过时，人可能被认为是不安全的。可以使用视觉传感器和自动分析的组合来自动检测许多缺陷;这些缺陷可以包括与车轴、轮盘、货车门、弹簧、减震器、车轮、刹车片相关的缺失和损坏的部件上的侧视图缺陷;故障电气部件上的底架缺陷、破裂的部件、漏油、悬挂部件等，顶视缺陷包括变形的侧墙和货车吊门。目前的市场解决方案在覆盖范围和性能方面都很有限。作为该项目的一部分，Rail Vision将调整其现有的非常成功的轨道检测技术，用于列车检测。它将侧重于调整机电接口、传感器定位和传感器触发模块，以实现移动列车的高质量数据采集。它将与印度的两个主要客户合作，以适应该技术，并预计将从他们和其他来源获得未来的资金，以在他们的终端制造和试用该技术。该公司还将在这一领域申请专利，以涵盖其知识产权。一旦该技术经过测试，Rail Vision将能够将该技术出口到一系列国际市场。