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首页> 外文期刊>Proceedings of the Institution of Civil Engineers >Strategic asset management modelling of infrastructure assets
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Strategic asset management modelling of infrastructure assets

机译:基础设施资产的战略资产管理建模

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摘要

Network Rail owns tens of thousands of civil engineering assets in the UK which include more than 40 000 bridges, 15 000 km of earthworks and 200 km of sea defences. In order to manage this diverse and ageing infrastructure a model was required to forecast the level of expenditure needed to meet defined levels of service that recognises the variation in types of asset, individual condition and the intensity of use of each asset. The model allowed Network Rail to plan its programme of maintenance work on civil engineering assets to achieve long-term objectives and provided essential information in preparation for periodic submissions for funding to the Office of Rail Regulation. Recognising that each asset could be managed in a number of ways, Mouchel provided modelling support to forecast the expenditure and performance implications for a range of policies. By selecting the policies to be applied to different groups of structures, Network Rail was able to investigate the implications of applying different combinations of policies to groups of assets, or assets on specific railway routes. This enabled Network Rail to identify a preferred maintenance approach according to funding levels and immediate performance requirements with full recognition of the long-term implications. The models utilised Bayesian statistical methods to deal with the large number of assets and optimising routines to ensure that structures were managed efficiently over the long term.
机译:Network Rail在英国拥有数万处土木工程资产,其中包括4万多座桥梁,1.5万公里的土方工程和200公里的防波堤。为了管理这种多样化且老化的基础架构,需要使用一种模型来预测满足定义的服务水平所需的支出水平,该水平可以识别资产类型,个人情况和每种资产的使用强度的变化。该模型使Network Rail可以计划其土木工程资产维护工作计划以实现长期目标,并提供必要的信息,以准备向铁路法规办公室定期提交资金。意识到每种资产可以通过多种方式进行管理,Mouchel提供了建模支持,可以预测一系列政策的支出和绩效影响。通过选择要应用于不同结构组的策略,Network Rail能够研究将不同策略组合应用于资产组或特定铁路路线上的资产的含义。这使Network Rail能够根据资金水平和即时性能要求确定首选的维护方法,并充分认识到其长期影响。这些模型利用贝叶斯统计方法来处理大量资产并优化例程以确保长期有效地管理结构。

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