I-Corps: Artificial intelligence-based software package for end-to-end structural health monitoring of infrastructure systems

这个I-Corps项目的更广泛的影响/商业潜力是开发使用物联网和/或基于光纤的监测系统的技术，以解决结构健康监测公司面临的与数据处理，解释和存储相关的问题。民用基础设施在其使用寿命期间，应满足指定运营的安全性和可持续性要求。然而，由于自然灾害和极端事件（如强风和地震），结构的性能会随着时间的推移而下降，或者严重受损甚至倒塌。例如，根据美国土木工程师学会2021年报告卡，美国的基础设施获得了C-的整体评分，表明该国的基础设施状况一般，存在不足，需要关注。结构健康监测系统在为结构的安全评估提供实时信息方面得到了迅速的普及。然而，全球的结构健康监测公司在数据处理、解释和存储方面面临挑战，这限制了他们获得有关被监测基础设施资产健康状况的足够全面的信息的能力。I-Corps项目基于智能和有效的数据处理、解释和存储的开发。和存储在结构健康监测系统中。该技术中的传统人工智能将描述问题并使用显式规则构建逻辑推理。 计算智能包括一个简单单元的互连网络，将用于从特定输入数据中获取有关输出的信息。这项创新的新奇包括通过结合传统人工智能和计算智能的新技术来开发混合系统，以自动完成数据采集和数据分析的过程。提供云服务的核心技术是用来存储分析和评估前后的数据，以便进一步处理。最后，该技术将解释分析数据，以检测和定位损坏，并对基础设施资产的恶化程度做出决策。 这将允许系统在危险发生之前确定所需的动作。该技术将为实时监测系统中的数据处理、解释和存储提供一种有效的方法，将过程分为三个主要部分，即检查可扩展性、短期数据分析和长期数据分析。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact/commercial potential of this I-Corps project is the development of technology that uses the internet-of-things and/or fiber optic-based monitoring systems to solve problems faced by structural health monitoring companies related to data processing, interpretation, and storage. During its service life, civil infrastructure should satisfy the requirement of safety and sustainability for the designated operation. However, due to natural disasters and extreme events (such as strong winds and earthquakes), structures degrade in performance over time, or they get damaged severely and even collapse. For example, America's Infrastructure received an overall grade of C- according to the American Society of Civil Engineers Report Card 2021, indicating that the nation's infrastructure is in mediocre condition, has deficiencies, and needs attention. Structural health monitoring systems have gained rapid popularity in providing real-time information for the safety assessment of structures. However, structural health monitoring companies worldwide are facing challenges in data processing, interpretation, and storage, which limits their ability to obtain sufficiently comprehensive information about the health of infrastructure asset that is being monitored.This I-Corps project is based on the development of smart and effective data processing, interpretation, and storage in the structural health monitoring systems using conventional artificial intelligence and computational intelligence. Conventional artificial intelligence in this technology will describe the problem and build logical reasoning using explicit rules. Computational intelligence, which comprises an interconnected network of simple units, will be used to acquire information about the output from specific input data. The novelty of this innovation includes the development of a hybrid system by incorporating new techniques from both conventional artificial intelligence and computational intelligence to automatically accomplish the process of data acquisition and data analysis. A provision of cloud services in the core technology is used to store data before and after analysis and evaluation for further processing. Finally, this technology will interpret analyzed data to detect and locate damages and make decisions on the deterioration level of an infrastructure asset. This will allow the system to determine the required actions before danger occurs. This technology will provide an effective way for data processing, interpretation, and storage in monitoring systems in real-time by dividing the processes into three main components, namely checking for plausibility, short-term data analysis, and long-term data analysis.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.