Innovative condition monitoring of electricity transmission asset - from science based archaeology to monitoring environmental risks on infrastructure
Innovative condition monitoring of electricity transmission asset - from science based archaeology to monitoring environmental risks on infrastructure
批准号:
NE/R014868/1
负责人:
Haida Liang
金额:
$27.35万
依托单位国家:
英国
项目类别:
Research Grant
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
环境因素会加速腐蚀,例如,沿海地区的空气污染和盐度是已知的因素。因此,了解各种环境因素与腐蚀之间的关系对于制定资产管理政策非常重要。仅国家电网输电(NGET)网络就有21,990个钢格构塔,支撑着英格兰和威尔士的架空电力线路。NGET每年检查约3650个钢格塔的状况。由于土地准入的限制以及资产的巨大数量,数据是通过直升机拍摄的彩色图像获取的。处理图像以分类腐蚀的程度和性质是一项手动任务。腐蚀程度的分级通过人工检查图像来进行。结果发现,不断变化的光照条件会降低彩色图像检测的准确性。因此,这些资产的10%然后由工程师通过爬上塔楼进行手动检查,以验证故障区域。总体而言,钢材健康评级是主观的,耗时的,给检查人员带来健康和安全风险。该项目旨在将为科学考古开发的技术和方法以远距离远程成像的形式转化为能源部门基础设施的状态监测,展示NERC研究对能源和基础设施部门以及英国经济的影响,启动输电资产状态监测的步骤变化。拟议的创新是及时的,因为它承诺自动数据采集和分析,前景产生更多的定量和可靠的结果。随着时间的推移跟踪状况的能力将有助于了解这些资产在其整个生命周期中的性能和退化情况,并支持预测维修和更换它们的最佳时间的能力。这种预测能力支持最小生命周期成本范例-可以传递给消费者的成本节省。随着不断提高工作实践安全性、资产调查准确性以及生命周期成本的需求,该创新为关键基础设施资产和整个社会提供了重要的维护、规划和成本效益。类似的资产监控和管理问题贯穿于基础设施和能源部门,从铁路轨道、桥梁、船舶、海上平台到管道。1)国家电网-国家电力传输系统运营商2)OPUS国际咨询有限公司-全球基础设施开发和资产管理公司3)Mosdorfer CCL系统有限公司-架空电力线产品制造商
英文摘要
Environmental factors can accelerate corrosion, e.g. air pollution and salinity in coastal areas are known factors. It is therefore important to understand the relationship between various environmental factors and corrosion to inform asset management policy.National Grid Electricity Transmission (NGET) network alone has 21,990 steel lattice towers that supports the overhead power lines in England and Wales. NGET inspects the condition of around 3650 steel lattice towers each year. Owing to restrictions on land access as well as the sheer volume of assets, data is captured via colour imagery taken from helicopters. The processing of images to classify the extent and nature of corrosion is a manual task. The grading of the level of corrosion is performed by manual inspection of the images. It was found that the changing light conditions can reduce the accuracy of inspection from colour images. Therefore, 10 percent of these assets are then inspected manually by engineers by climbing up the towers for verification of trouble areas. Overall, the grading of steel health is subjective and time consuming, posing health and safety risks to inspectors. The proposed project aims to translate technology and methods developed for science-based archaeology in the form of remote imaging at standoff distances to condition monitoring of infrastructure in the energy sector, demonstrating the impact of research in NERC remit to the energy and infrastructure sector and UK economy, initiating step change in condition monitoring of electricity transmission assets. The proposed innovation is timely because it promises automated data capture and analysis with the prospect of producing more quantitative and reliable results. The ability to track condition over time will support an understanding of how these assets perform and deteriorate throughout their lifecycle, and support the ability to predict the optimal time to repair and replace them. Such predictive ability supports a least lifecycle cost paradigm - cost savings that can be passed on to consumers. With demands to continuously improve working practice safety, accuracy of asset surveys and therefore lifecycle costs, the innovation delivers significant maintenance, planning and cost benefits necessary for critical infrastructure assets and society as a whole.Similar asset monitoring and management issues cross-cuts the infrastructure and energy sectors sectors ranging from railway tracks, bridges, ships, off-shore platforms to pipe lines.The stakeholders are: 1) The National Grid - national electricity transmission system operator2) OPUS International Consultants Ltd. - a global infrastructure development and asset management company3) Mosdorfer CCL systems Ltd. - a manufacturer of overhead power line products
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
DOI:
10.1117/12.2593680
发表时间:
2021-06
期刊:
Current Opinion in Oncology
影响因子:
3.4
作者:
[Qunxi Zhang;Shanshan Cui;Lu Liu;Jiaxin Wang;Jun Wang;Erlei Zhang;Jinye Peng;S. Kogou;Florence S. Liggins;Haida Liang]
通讯作者:
Qunxi Zhang;Shanshan Cui;Lu Liu;Jiaxin Wang;Jun Wang;Erlei Zhang;Jinye Peng;S. Kogou;Florence S. Liggins;Haida Liang
Hyperspectral imaging solutions for the non-invasive detection and automated mapping of copper trihydroxychlorides in ancient bronze
用于古代青铜中三羟基氯化铜的非侵入性检测和自动绘图的高光谱成像解决方案
DOI:
10.1186/s40494-022-00765-8
发表时间:
2022
期刊:
Heritage Science
影响因子:
2.5
作者:
[Liggins F]
通讯作者:
Liggins F
Follow on to "From Lima to Canton and Beyond: An AI-aided heritage materials research platform for studying globalisation through art"
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批准号:AH/Y006100/1
-
项目类别:Research Grant
-
资助金额:$15.66万
-
财政年份:2023
-
负责人:Haida Liang
-
依托单位:
From Lima to Canton and Beyond: An AI-aided heritage materials research platform for studying globalisation through art
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批准号:AH/V009745/1
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项目类别:Research Grant
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资助金额:$26.53万
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财政年份:2021
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负责人:Haida Liang
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依托单位:
AI for DIGILAB: A New Concept in Digital Infrastructure for Heritage Materials Research
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批准号:AH/T013184/1
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项目类别:Research Grant
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资助金额:$10.27万
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财政年份:2020
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负责人:Haida Liang
-
依托单位:
Culture and Trade through the Prism of Technical Art History - a study of Chinese export paintings
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批准号:AH/K006339/1
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项目类别:Research Grant
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资助金额:$10.2万
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财政年份:2013
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负责人:Haida Liang
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依托单位:
The Next Generation of Optical Coherence Tomography (OCT) for Art Conservation - in situ non-invasive imaging of subsurface microstructure of objects
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批准号:AH/H032665/1
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项目类别:Research Grant
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资助金额:$84.28万
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财政年份:2010
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负责人:Haida Liang
-
依托单位:
Collaborative Doctoral 2010 Grant - Non-invasive methods for in situ assessing and monitoring the vulnerability of rock art monuments
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批准号:AH/I50513X/1
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项目类别:Training Grant
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资助金额:$3.78万
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财政年份:2010
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负责人:Haida Liang
-
依托单位:
The nature of highly polarised radio sources
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批准号:ST/H003185/1
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项目类别:Research Grant
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资助金额:$0.08万
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财政年份:2009
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负责人:Haida Liang
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依托单位:
Portable remote hyperspectral imaging for in situ examination of wall paintings
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批准号:EP/E016227/1
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项目类别:Research Grant
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资助金额:$26.61万
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财政年份:2007
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负责人:Haida Liang
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依托单位:
国内基金
海外基金
关于铁磁链方程组的解的部分正则性的研究
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批准号:10926050
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项目类别:数学天元基金项目
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资助金额:3.0万元
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批准年份:2009
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负责人:曾明
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依托单位: