Sensor distributed network for Corrosion Under Insulation monitoring in smart infrastructures
Sensor distributed network for Corrosion Under Insulation monitoring in smart infrastructures
批准号:
133328
负责人:
金额:
$13.37万
依托单位:
依托单位国家:
英国
项目类别:
Feasibility Studies
财政年份:
2018
资助国家:
英国
项目状态:
已结题
起止时间:
2018 至 --
中文摘要
腐蚀雷达(CR)有限公司致力于成为智能基础设施遥感技术和先进分析系统的全球领导者。对腐蚀和绝缘下腐蚀(CUI)的监测可能会导致许多部门的灾难性故障和主要停机时间,这是公司的主要关注点。目前的大多数做法使用现场测量技术,严重依赖于有限的数据和风险管理。CR背后的关键技术创新是突破性的传感网络,能够检测和监测难以进入的区域的腐蚀。该传感器可以永久安装在任何复杂结构的旁边,增加了腐蚀智能。关键业务创新在于将该传感器系统应用于CUI的远程检测;解决能源领域未满足的需求。样机已经生产出来,并在实验室条件下进行了测试。该项目的目的是作为现场试验前的第一步,在操作条件下验证CR技术。CR技术的主要任务是在不影响人员、资产和环境安全的情况下降低维护成本。这也将减少停机时间,同样可以应用于许多行业,如石油和天然气,可再生能源和核能。
英文摘要
CORROSION RADAR (CR) LIMITED strives to be a global leader in remote sensing technologies and advanced analytics systems for smart infrastructures. Monitoring the Corrosion and Corrosion Under Insulation (CUI) that can cause catastrophic failures and major downtime for many sectors, are the main focus of the company. Most of the current practise use spot measurement techniques and heavily dependent on limited data and risk management. The key technical innovation behind CR is the breakthrough sensing network that is capable to detect and monitor corrosion in inaccessible areas. The sensor is permanently installed alongside to any complex structure adding corrosion intelligence to it. The key business innovation is in the application of this sensor system for remote detection of CUI; addressing an unmet need in the energy sector. A prototype has been produced and tested under laboratory conditions. The aim of this project is to validate the CR technology in operational conditions as a first step before the field trials. The primary mission of the CR technology is to reduce maintenance cost without compromising on the safety of people, assets and environment. This will also lead to reducing downtime and can equally be applied to many sectors such as Oil & Gas, renewables and nuclear.
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国内基金
海外基金
Graphon mean field games with partial observation and application to failure detection in distributed systems
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批准号:
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项目类别:省市级项目
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资助金额:--
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批准年份:2025
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负责人:MATHIEULOUROCHLAURIERE
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依托单位:
基于异构医学影像数据的深度挖掘技术及中枢神经系统重大疾病的精准预测
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批准号:61672236
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项目类别:面上项目
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资助金额:64.0万元
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批准年份:2016
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负责人:王骏
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依托单位: