I-Corps Teams: Software for Optimized Infrastructure Asset Management, Repair, and Recovery

这个i-Corps项目的更广泛的影响/商业影响是提供一个解决方案，用于优先投资于关键基础设施的管理和改造。关键基础设施系统包括水、电力、交通、通信和燃料网络。这些系统是相互联系和相互依存的。它们也在老化，面临着越来越多的危险，需要数十亿美元的投资来对这些系统进行现代化、维修和改造。该项目将确定这些系统的关键组成部分，以便投入的资源在减轻自然灾害和人为攻击对基础设施的影响方面产生最大影响，包括最大限度地减少在发生一次事件时跨多个系统发生连锁故障的可能性。它将提高这些系统在日常运营和灾难应对方面的性能，为社区提供关键的基础设施服务。这个i-Corps项目基于之前在相互依赖的基础设施系统建模方面的工作。具体地说，开发了一个新的概率框架来对关键基础设施之间的复杂相互依赖关系进行建模。这将捕获多个系统中的事件、停机和组件故障的影响。它包括执行风险和脆弱性分析的不确定性建模。I-Corps技术是基于这项研究的通用软件工具，考虑了相互依赖，针对正常运行和意外中断而开发，适用于任何基础设施系统。与当前依赖经验或主观判断并仅考虑单个系统的系统相比，该技术使基础设施所有者和系统经理能够考虑跨系统的影响，以优化资产管理、修复和恢复决策，以提高基础设施性能。

The broader impact/commercial impact of this I-Corps project is to provide a solution for prioritizing investment in management and retrofit of critical infrastructure. Critical infrastructure systems include water, power, transportation, communication, and fuel networks. These systems are interconnected and interdependent. They are also aging and subject to increasing hazards, with billions of dollars of investment required to modernize, repair, and retrofit these systems. This project will identify the critical components of these systems such that the resources invested have the greatest impact in mitigating the effects of natural disasters and human attacks on infrastructure, including minimizing the potential for cascading failures across multiple systems given an event. It will improve the performance of these systems for both daily operations and disaster response to provide critical infrastructure services to communities.This I-Corps project is based on previous work in interdependent infrastructure systems modeling. Specifically, a novel probabilistic framework has been developed to model the complex interdependencies between critical infrastructures. This captures the effects of events, outages, and component failures across multiple systems. It includes uncertainty modeling to perform risk and vulnerability analyses. The I-Corps technology is a generalized software tool based on this research that accounts for interdependencies, is developed for both normal operations and unexpected disruptions, and is suitable to any infrastructure system. Compared to current systems that rely on experience or subjective judgment, and only consider individual systems, the technology enables infrastructure owners and system managers to consider impacts across systems to optimize asset management, repair, and recovery decisions to improve infrastructure performance.