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

深埋隧道主干管道的测量过程非常繁琐，需要污水管理机构断开2个月的关键通风和互通网络设置，并由3个小组进行0.5个月的测量(假设隧道长4英里)，总共花费2.5个月和50多万英镑的成本。环境也特别不安全；那里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对每个隧道进行所需的多次调查变得困难，导致间歇性坍塌、堵塞，特别是持续不断的泄漏和相关的污染事件。泄漏造成的污染事件很大，而且经常发生，因为有超过3500条深的主要隧道污水渠，超过40万英里的污水渠与这些管道相连，污水从这些管道输送到污水处理站。泄漏已导致英国50%以上的河流受到污染，而且还在上升(环境署，2018年)。此类泄漏的惩罚性费用通常数额巨大，对收入造成沉重打击，导致隧道所有者迫切需要替代调查方法。一个受欢迎的案例是泰晤士河水务公司，2017年泰晤士河上发生了严重的、可以避免的污染事件，被处以2000万英镑的罚款(环境局，2017)。避税主要来自频繁的调查，这会导致快速干预。因此，市场对高生产率(更快、更便宜、更安全)的调查系统的需求尚未得到满足，这将导致频繁的隧道下水道调查。因此，该项目将开发一个完整的隧道-下水道测量系统(HS3)，其中包括隧道测量专用无人机(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生成测量报告。以每小时2英里的速度，T-SUV将在2小时内制作出大约4英里长的典型隧道-下水道系统的勘测视频。HS3的S人工智能-CM将在大约30分钟内分析生成的调查视频并生成故障报告。

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.