Bringing established gauging automation to Network Rail

将成熟的测量自动化引入 Network Rail

• 批准号: 971734
• 金额: $ 13.7万
• 依托单位: CORDEL LIMITED
• 依托单位国家: 英国
• 项目类别: Small Business Research Initiative
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=971734
• 关键词: Bringing; established; gauging; automation; Network

BRINGING ESTABLISHED GAUGING AUTOMATION TO NETWORK RAIL: Corridor.ai will bring to the UK our internationally established cloud-based gauging platform for automated processing of rail intelligence from data - that we have developed and successfully applied on Australian and Japanese railways. The project we propose will enable Network Rail to benefit from our mature core technology: we will undertake the R&D required to create a bespoke application for them. This competition will allow us to work alongside Network Rail staff and their advisors to develop, test and demonstrate the new modifications that are needed to meet their particular requirements. This project should expedite commercial implementation so that Network Rail can benefit from radically quicker processing times to obtain actionable gauging information. Automating gauging data processing should also: improve rail workers' safety by reducing the need for (and frequency of) boots-on-the-tracks inspections; and improve flexibility for train operators and other Network Rail customers (and therefore railway passengers and freight users), by enabling faster and more accurate scenario testing etc.

将成熟的计量自动化引入网络铁路：Corridor.ai将为英国带来我们国际上建立的基于云的计量平台，用于根据数据自动处理铁路情报-我们已经开发了该平台，并在澳大利亚和日本铁路上成功应用。我们提出的项目将使Network Rail能够受益于我们成熟的核心技术：我们将承担为他们创建定制应用程序所需的研发。这项竞赛将允许我们与Network Rail员工及其顾问合作，开发、测试和演示满足他们特殊要求所需的新修改。该项目应该加快商业实施，以便Network Rail能够从根本上更快的处理时间中受益，以获得可操作的测量信息。计量数据处理的自动化还应：通过减少现场检查的需要(和频率)，提高铁路工人的安全；通过实现更快、更准确的情景测试等，提高列车运营商和其他网络铁路客户(因此也包括铁路乘客和货运用户)的灵活性。