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Self-Powered IoT Water Distribution Monitoring System

Self-Powered IoT Water Distribution Monitoring System
自供电物联网配水监控系统
批准号:
10044169
负责人:
金额:
$6.37万
依托单位:
依托单位国家:
英国
项目类别:
Grant for R&D
财政年份:
2022
资助国家:
英国
项目状态:
已结题
起止时间:
2022 至 --

项目摘要

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中文摘要
翻译
在英国,由于管道泄漏,23%的清洁水在处理后丢失。从水的来源、处理到运输,每年所需的碳足迹相当于55万辆汽车的排放量。此外,水务署的净零目标包括尽量减少运输洁净水所需的能源。通过数字化管网,数字孪生分析可以优化系统的能量需求。此外,该分析还可以用于检测、定位甚至预测近乎实时的泄漏。然而,这需要灵活、大规模地部署智能传感器,而这些传感器必须供电。基线解决方案包括频繁更换一次性电池或铺设电力电缆,这两种选择既不可持续,也不划算。因此,替代电源解决方案的差距存在。vyvision Technologies开发了一种正在申请专利的解决方案,用于智能水网中的远程设备供电和监控。该包包括一个水轮机能量采集器、一个电池存储系统、一个设备控制器、一个通信节点和监控软件。可再生能源收集器利用管道流动能量为设备提供本地电源,可以远程监控和控制。这是通过我们的软件实现的,水务公司可以安全地访问他们的资产数据和传感器节点的性能。我们的快速启动项目是设计和实施TRL 7现场试验,为我们的完整包。这包括试验设计、原型制造和疲劳测试、安装、监测和分析。这笔拨款对于弥合我们目前的技术阶段与商业化产品之间的差距至关重要。为将我们的技术推向市场创造机会,将对水务行业的创新战略产生深远影响。
英文摘要
In the UK, 23% of clean water is lost post treatment due to pipeline leakage. The annual carbon footprint required to source, treat, and transport this water is equivalent to running 550,000 cars. Furthermore, OFWAT's net zero targets include minimising the energy required to transport clean water. Through digitising the pipeline network, digital twin analysis can optimise the system energy requirements. Furthermore, the analysis can be used to detect, locate, and even predict leakage in near real-time. However, this requires the flexible, mass deployment of smart sensors, which must be powered. The baseline solution consists of frequently replacing single use batteries or laying power cables, neither option being sustainable nor cost effective. The gap for an alternative power source solution therefore exists.Vysion Technologies has developed a patent pending solution for powering and monitoring remote equipment in smart water networks. The package consists of a hydro turbine energy harvester, a battery storage system, an equipment controller, a communications node, and monitoring software. The renewable energy harvester harnesses the pipe flow energy to provide a local power supply to the equipment, which can be monitored and controlled remotely. This is achieved through our software, where the water utility companies will have secure access to their asset data and sensor node performance.Our Fast Start project is to design and conduct TRL 7 field trials, for our complete package. This includes trial design, prototype manufacturing and fatigue testing, installation, monitoring, and analysis. The grant funding will be pivotal in bridging the gap between our current technology stage and a commercialised product. Facilitating the opportunity to bring our technology to market would see a profound impact on the water industry's innovation strategy and beyond.
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