Data driven engineering to improve the performance of asset maintenance

这项研究的主要目标将是实现数据在资产管理中的全部潜力。使用建筑信息建模(BIM)开始对资产管理进行数据驱动的改进，从而提高绩效效率。目前可用的数据和技术是在设计和施工阶段使用的，但没有适当的程序来管理将这些数据和技术移交给客户，以便利进行中的资产管理。这项研究将调查行业内的障碍，以了解任何文化、流程和知识限制，这意味着创新不会进行到项目的资产移交阶段。这一领域的研究有可能为利益攸关方带来许多行业效率，包括：提高对终身资产管理的理解、维护效率、向客户提供更高水平的服务、开发定制的维护信息、利用更多数据为维护情景和规划的制定提供信息以及朝着主动资产管理的方向发展。BIM在设计和施工阶段被大量采用，但目前与资产移交和维护阶段脱节，我的研究将寻求缩小这一差距。我将研究行业在资产构建中采用BIM的情况，以了解它是如何在很大程度上取得成功的，并利用任何经验教训，考虑任何挑战，并将其与数据驱动的资产管理的发展联系起来。这一点，加上PAS1193-3：2014行业指南的实施，以及为遵守英国政府建筑标准2025中规定的要求而正在进行的工作，将提供一个框架，以建立我的研究并推动我的最终产出。然后，研究将包括构建客户目前采取的资产管理方法的图景、为符合行业要求而规划的未来发展，以及对当前方法的潜在问题的看法，以及客户对资产管理未来形态的看法。这些关于差距、不足和未来需求的知识可用来了解所需的解决方案，从而探讨可实施的技术和技术解决方案，以大大改进数据驱动的资产管理。

The main objective of the research would be to realise the full potential of data in asset management. Using Building Information Modelling (BIM) to start the data driven improvements to asset management bringing performance efficiencies. Currently available data and technologies are used during the design and construction phases but there are not processes in place to manage a handover of this to the client to facilitate ongoing asset management. The research would look into the barriers within the industry to understand any cultural, process and knowledge constraints, which mean that innovations are not carried through to the asset handover stage of a project. Research in this area has the potential to bring a number of industry efficiencies for stakeholders including; improved understanding of whole life asset management, maintenance efficiencies, greater level of service delivered to clients, development of bespoke maintenance information, harnessing additional data to inform the development of maintenance scenarios and planning and a movement towards proactive asset management. BIM has been heavily adopted during the design and construction phases but currently there is a disconnect with the asset handover and maintenance phases and my research would seek to close this gap. I would research the industry adoption of BIM within the construction of the asset to understand how it has been largely successful and to harness any learnings, consider any challenges and link this to the development of data driven asset management. This, alongside the implementation of industry guidance PAS1193-3:2014 and work underway to comply with the requirements set out in the UK Government Construction Standard 2025, would provide a framework from which to build my research and drive my eventual output. Research would then include building a picture of current asset management approaches undertaken by clients, future planned developments to comply with industry requirements and also a view of potential issues with the current methodologies and the clients view of the future shape of asset management. This knowledge of gaps, shortfalls and future requirements could then be used to build a view of the required solutions, which would then lead to an exploration of technologies and technical solutions which could be implemented to bring considerable improvements in data driven asset management.