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

I-Corps项目的更广泛影响/商业影响是为关键基础设施的管理和改造提供优先投资的解决方案。关键的基础设施系统包括水、电、交通、通信和燃料网络。这些系统相互联系，相互依赖。它们也在老化，面临越来越多的危险，需要数十亿美元的投资来实现这些系统的现代化、维修和改造。该项目将确定这些系统的关键组件，以便投入的资源在减轻自然灾害和人为对基础设施的攻击方面具有最大的影响，包括在给定事件的情况下将跨多个系统的级联故障的可能性降至最低。它将改善这些系统的日常运作和灾害响应性能，为社区提供关键的基础设施服务。这个I-Corps项目是基于以前在相互依赖的基础设施系统建模方面的工作。具体来说，已经开发了一个新的概率框架来模拟关键基础设施之间复杂的相互依赖关系。这可以捕获跨多个系统的事件、中断和组件故障的影响。它包括不确定性建模，以执行风险和脆弱性分析。I-Corps技术是一种基于这项研究的通用软件工具，它考虑了相互依赖性，适用于正常操作和意外中断，适用于任何基础设施系统。与目前依赖经验或主观判断、只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管理人员能够考虑跨系统的影响，以优化资产管理、修复和恢复决策，从而提高基础设施性能。

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.