I-Corps: Bringing Digital Twin Technology to the Asset Management Community

I-Corps项目的更广泛的影响/商业潜力是基于改进基础设施资产的检查和维护所产生的经济和安全效益。在这方面，资产可指桥梁和道路等运输系统、近海石油平台和管道等能源部门系统或电信塔，所有这些系统都必须定期检查其安全性和功能性。通过提供更全面的基础设施性能记录和理解、改进战略规划和维护流程以及优化总体影响和拥有成本，“资产情报”平台不仅将使资产所有者/运营商受益，而且还将使基础设施利益相关者和公众受益。除了改进的决策支持软件将为客户提供的经济利益外，检查流程的改进也将有利于公众的安全。这个i-Corps项目将探索新的解决方案，以应对基础设施检查和管理的挑战。在检查期间，将收集有关资产的一系列信息，包括检查员观察、图像、传感器读数和无损检测结果。在高效有效地利用这些数据方面仍然存在挑战，限制了其价值，并经常导致对资产过于保守和经济上次优的决策。该项目设想了一种新的流程，通过创建资产的“数字孪生兄弟”来集成和可视化检查信息。使用新颖的3D建模过程，可以生成资产的虚拟现实模型。然后，在此模型上覆盖广泛的检查和环境数据，作为资产整个生命周期的记录数据，并提供数据连续性，以支持实时、概要和取证分析。这些数字双胞胎可以通过传统计算机访问，随后可以通过虚拟和增强现实平台访问，以改进实地检查过程。

The broader impact/commercial potential of this I-Corps project is based on the economic and safety benefits that arise from the improved inspection and maintenance of infrastructure assets. Assets in this context can refer to transportation systems such as bridges and roadways, energy sector systems such as offshore oil platforms and pipelines, or telecommunications towers, all of which must be routinely inspected for safety and functionality. The 'asset intelligence' platform will potentially benefit not only asset owner/operators, but infrastructure stakeholders and the general public by providing a more comprehensive record and understanding of infrastructure performance, improving strategic planning and maintenance processes, and optimizing total impact and cost of ownership. Beyond the economic benefits that improved decision-support software will provide to customers, improvements to inspection processes will also benefit the safety of the general public.This I-Corps project will explore new solutions to the challenges of infrastructure inspection and management. During an inspection, a range of information is collected about an asset, including inspector observations, images, sensor readings, and nondestructive testing results. Challenges persist in the efficient and effective exploitation of this data, limiting its value and frequently resulting in overly conservative and economically sub-optimal decisions about an asset. This projects envisions a new process for integrating and visualizing inspection information by creating a 'digital twin' of an asset. Using a novel 3D modeling process, a virtual reality model of an asset can be generated. A broad range of inspection and environmental data is then overlaid on this model, serving as the data-of-record over the lifetime of the asset, and providing data continuity in support of real-time, synoptic, and forensic analyses. These digital twins can be accessed through conventional computers and subsequently through virtual and augmented reality platforms to improve field inspection processes.