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Membrane-Cyber-Physical System (m-CPS) for Smart Water Treatment

用于智能水处理的膜-网络-物理系统（m-CPS）

基本信息

批准号：
EP/V001663/1
负责人：
Diganta Das
金额：
$ 23.12万
依托单位：
Loughborough University
依托单位国家：
英国
项目类别：
Research Grant
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=EP%2FV001663%2F1
关键词：
Membrane Cyber Physical System CPS

项目摘要

Filter membranes play a critical role in providing clean drinking water, access to which is one of the most pivotal human rights. Typically, the operation of the filters has relied on manual, local monitoring of operational markers such as flow rates and contaminants' concentrations. This need for hands on expert maintenance is preventing membrane technology from reaching its full potential. To correct this, the monitoring of water filter needs to be achieved by sensors, transmitting data in real-time for centralised artificial intelligence (AI) based analysis. Such an AI driven water filter system must be scalable to meet with the global demands for clean water. There is therefore a massive global opportunity for membrane systems to benefit from being implemented as cyber-physical systems (CPS). This discipline hopping grant (DHG) will provide the PI and discipline hopper Das with an immersive information and communication technology (ICT) experience. It will enable him to bring the ICT capabilities and use of smart wireless-sensor technologies for autonomous, real-time monitoring, together with AI driven data analytics within the broader area of CPS into his home discipline relating to membrane water treatment. This will be achieved by supporting/mentoring the PI at 50% FTE for 2 years to experience ways for developing a membrane-CPS (m-CPS) based on intelligent CPS architecture, embedded with a smart wireless sensor network (WSN) for continuous real-time monitoring of the performance of a membrane-treatment unit enhanced by cloud-based AI data analytics and decision making.

过滤膜在提供清洁饮用水方面发挥着关键作用，获得清洁饮用水是最关键的人权之一。通常，过滤器的操作依赖于对操作标记（诸如流速和污染物浓度）的手动局部监测。这种对专家维护的需求阻碍了膜技术充分发挥其潜力。为了纠正这一点，需要通过传感器来实现对滤水器的监控，实时传输数据以进行基于人工智能（AI）的集中分析。这种人工智能驱动的水过滤系统必须可扩展，以满足全球对清洁水的需求。因此，膜系统有一个巨大的全球机会，可以从作为网络物理系统（CPS）的实施中受益。这个学科跳跃补助金（DHG）将为PI和学科跳跃Das提供身临其境的信息和通信技术（ICT）体验。这将使他能够将ICT能力和智能无线传感器技术用于自主实时监控，以及CPS更广泛领域内的人工智能驱动的数据分析带入他与膜水处理相关的家庭学科。这将通过支持/指导PI以50%的FTE为2年来实现，以体验基于智能CPS架构开发膜CPS（m-CPS）的方法，嵌入智能无线传感器网络（WSN），用于通过基于云的AI数据分析和决策增强膜处理单元的性能的持续实时监控。