Holistic Principal Tunnel-Sewer Survey System (HS3) using Unmanned Aerial vehicle and Artificial Intelligence+Big Data

深埋主隧道--下水道的勘察过程非常繁琐，需要断开下水道管理实体2个月进行关键的通风和互通网络的设置，3个班进行0.5个月的勘察（假设一条4英里长的隧道），总共花费2.5个月，费用超过50万英镑。环境也特别不安全;有啮齿动物和其他携带疾病的动物，即使在通风后也会携带有害的固体和化学品。最近，它们被发现含有冠状病毒的痕迹（BBC 2020）。所有这些都使得每年都很难对每一条下水道进行所需的多次调查，造成间歇性的坍塌、堵塞，特别是不断的泄漏和相关的污染事件，泄漏造成的污染事件很大，也很频繁，因为有超过3，500条深的主要隧道-下水道，超过40万英里的下水道与这些隧道相连，污水从这些隧道被输送到处理站。泄漏导致英国50%以上的河流受到污染，污染程度不断上升（环境署，2018年）。这种泄漏的罚款通常是巨大的，对收入的打击很大，导致隧道业主迫切需要替代的测量方法。一个受欢迎的案例是泰晤士水务公司（Thames Water），该公司在2017年因泰晤士河上发生重大且可避免的污染事件而被处以2000万英镑的罚款（环境署，2017年）。因此，市场需要一个高生产力（更快、更便宜和更安全）的调查系统，这将产生频繁的隧道-污水渠调查。因此，该项目将开发一个整体的隧道下水道调查系统（HS 3），其中包括隧道调查专用无人驾驶飞行器（T-suv）和人工智能分类模型（AI-CM），该模型将分析T-suv的视频，以进行故障分类和调查报告制作。在2英里每小时的T-suv将产生一个典型的隧道下水道系统的调查视频约4英里长的2小时。HS 3的AI-CM将分析生成的调查视频，并在大约30分钟内生成故障报告。

The survey process of deep principal tunnel-sewers is very tedious, needing sewerage regulation entity be disconnected for 2-months for crucial airing and intercommunication network setup, and survey done by 3-squads for 0.5months (assuming a 4-mile long tunnel), expending 2.5 months in total and over half a million pounds in costs. The environment is also particularly unsafe; it has rodents and other disease-carrying animals and carries harmful solids and chemicals even after airing. More recently, they have been found to contain traces of Corona virus (BBC 2020). All these make it difficult to conduct the required multiple survey annually of each, causing intermittent collapse, blockages, and particularly incessant leaks and associated pollution episodes.Pollution episodes from leaks are big and frequent because there are over 3,500 deep principal tunnel-sewers, to which the over 400,000 miles of sewers are connected to, and from which sewage is transported to treatment stations. The leaks have led to pollution of more than 50% of UK rivers and rising (Environment Agency, 2018). The penalty fee for such leaks are usually huge and hard hitting on revenue, causing tunnel owners to be desperate for alternative survey methods. A popular case is that of Thames Water that was given a £20 million penalty significant and avoidable pollution episodes on the River Thames in 2017 (Environment Agency, 2017). Avoidance comes mainly through frequent surveys that begets quick intervention.Thus, an unmet market need exists for a highly productive (quicker, cheaper and safer) survey system that will engender frequent tunnel-sewers surveys. This project will thus develop a holistic Tunnel-sewer survey system (HS3) that includes a tunnel survey-specific unmanned aerial vehicle (T-suv) and artificial intelligence classification models (AI-CM) that will analyse T-suv's videos for fault-classification and survey reports production. At 2-miles per hour T-suv will produce survey videos of a typical Tunnel-sewer system of circa 4-miles length in 2 hours. HS3's AI-CM will analyse the generated survey videos and produce fault reports in circa 30 minutes.