Bringing established gauging automation to Network Rail

将已建立的轨距自动化应用于轨道交通。ai将把我们在国际上建立的基于云的测量平台带到英国，该平台可以从数据中自动处理铁路情报，我们已经开发并成功应用于澳大利亚和日本的铁路。我们建议的项目将使网络铁路受益于我们成熟的核心技术：我们将承担研发所需的研发工作，为他们创建定制的应用程序。这次竞赛将使我们能够与网络铁路员工和他们的顾问一起开发、测试和演示新的修改，以满足他们的特殊要求。该项目应加快商业实施，使网络铁路公司可以从更快的处理时间中受益，以获得可操作的测量信息。自动化测量数据处理还应该：通过减少开机检查的需要（和频率）来提高铁路工人的安全；并通过实现更快，更准确的场景测试等，提高列车运营商和其他网络铁路客户（因此铁路乘客和货运用户）的灵活性。

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.