Self-Powered IoT Water Distribution Monitoring System
Self-Powered IoT Water Distribution Monitoring System
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 --
中文摘要
在英国,由于管道泄漏,23%的清洁水在处理后损失。每年采集、处理和运输这些水所需的碳足迹相当于运行55万辆汽车。此外,OFWAT的净零目标包括最大限度地减少运输清洁水所需的能源。通过数字化管道网络,数字孪生分析可以优化系统的能源需求。此外,该分析可用于近实时地检测、定位甚至预测泄漏。然而,这需要灵活的大规模部署智能传感器,而这些传感器必须是供电的。基线解决方案包括频繁更换一次性电池或铺设电力电缆,这两种选择都不可持续,也不具有成本效益。因此,替代电源解决方案存在差距。Vysion Technologies开发了一种正在申请专利的解决方案,用于为智能水网中的远程设备供电和监控。该软件包包括一个水力涡轮机能量采集器、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。可再生能源采集器利用管流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,水务公司将可以安全地访问其资产数据和传感器节点性能。我们的快速启动项目是为我们的完整软件包设计和进行TRL 7现场试验。这包括试验设计、原型制造和疲劳测试、安装、监测和分析。赠款资金将是关键的桥梁之间的差距差距我们目前的技术阶段和商业化的产品。促进将我们的技术推向市场的机会将对水务行业的创新战略产生深远的影响。
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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
海外基金