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A NEW SECURITY AND SAFETY SOLUTION FOR PUBLIC GUIDED TRANSPORT

机译:新型引导运输的安全保障方案

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Railway and Public Guided Transit Properties often employ large numbers of video cameras to supervise critical areas and facilitate incident management. Capabilities of Central Control Staff is, however, limited to check the increasing number of CCTV images and so far automated image processing solutions had been insufficiently reliable. TelSys GmbH (a railway telematics company in Dresden, Germany) had therefore developed over the last seven years together with the University of Technology in Dresden and some public transport providers (subway of Berlin, subway of Prague) a robust solution to supervise automatically critical areas like tunnel entrances, station tracks or station platform edges. Also qualifications with German Railways and in Finland had been performed. The automatic image processing software reliably differentiates between trains ("permitted" objects) and objects that move from the platform into the tracks or move too close to otherwise prohibited areas. Object sizes, alarm times, reliability and safety requirements had been taken from the VDV 399 standard of the German Public Transport Operators Association. After years of reliability and safety research and demonstration the system is now in regular operation (stopping automatically incoming driverless trains if an object is detected in the track) and can be considered as the first safe video image processing system according to railway standards. Experiences, system architecture and principles asrnwell as further development plans and planned demonstration installation in North America are discussed.
机译:铁路和公共引导运输场所经常使用大量摄像机来监视关键区域并促进事故管理。但是,中央控制人员的能力仅限于检查越来越多的CCTV图像,并且到目前为止,自动化图像处理解决方案的可靠性不足。因此,TelSys GmbH(位于德国德累斯顿的一家铁路远程信息处理公司)在过去七年中与德累斯顿工业大学和一些公共交通提供商(柏林地铁,布拉格地铁)一起开发了一种强大的解决方案,可以对自动关键区域进行监管例如隧道入口,车站轨道或车站月台边缘。此外,还通过了德国铁路公司和芬兰的资格认证。自动图像处理软件可以可靠地区分火车(“允许的”物体)与从平台进入轨道或移至过于接近禁区的物体之间的区别。对象尺寸,警报时间,可靠性和安全性要求均来自德国公共交通运营商协会的VDV 399标准。经过多年的可靠性和安全性研究与演示,该系统现已投入正常运行(如果在轨道上检测到物体,则自动停止进入的无人驾驶列车),并且可以被视为根据铁路标准的第一个安全视频图像处理系统。讨论了在北美的经验,系统架构和原则以及进一步的开发计划和计划的演示安装。

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