Digital built environment maturity model: Digital twins advancing smart infrastructure asset management

D. Papič, T. Cerovsek
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引用次数: 2

Abstract

Re-defined environmental, social, and economic outcomes are pushing the infrastructure industry increasingly towards advanced digitalisation. Increasing amount of information on the use, behaviour and performance of infrastructure assets enables better decision making and asset value management. Digitalisation enables more effective utilisation of existing assets, better design, selection, and delivery of new assets. Asset data can contribute to improving the value of an asset in its life-time, a citizens’ quality of life, and economic growth. Asset data is key for smart infrastructure management. Process and technology advancements enable the transformation of physical infrastructure into a smart infrastructure (digitally represented by digital twin) which may store the historical and real-time status of a physical counterpart. This paper targets methods, processes, and technologies which may be used to better capture, organise, analyse and understand the status and behaviour of infrastructure assets. Presented smart asset management maturity model will enable asset owners to introduce new methods of monitoring and decision making that may lead to the innovative smart infrastructure asset management.
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数字建筑环境成熟度模型:数字孪生推进智能基础设施资产管理
重新定义的环境、社会和经济成果正在推动基础设施行业日益走向先进的数字化。有关基础设施资产的使用、行为和性能的信息不断增加,有助于更好地制定决策和管理资产价值。数字化能够更有效地利用现有资产,更好地设计、选择和交付新资产。资产数据有助于提高资产在其生命周期内的价值,提高公民的生活质量,促进经济增长。资产数据是智能基础设施管理的关键。流程和技术的进步使物理基础设施转变为智能基础设施(由数字孪生数字表示),可以存储物理对等物的历史和实时状态。本文的目标是可以用来更好地捕获、组织、分析和理解基础设施资产的状态和行为的方法、过程和技术。提出的智能资产管理成熟度模型将使资产所有者能够引入新的监控和决策方法,从而可能导致创新的智能基础设施资产管理。
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