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。民用基础设施在使用寿命内，应当满足指定作业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)，随着时间的推移，结构的性能会下降，或者它们会受到严重破坏，甚至倒塌。例如，根据美国土木工程师协会2021年成绩单，美国的基础设施总体得分为C-，这表明美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安全评估提供实时信息方面得到了迅速的普及。然而，世界各地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，这限制了他们获得关于被监测基础设施资产健康的足够全面的信息的能力。该i-Corps项目基于使用传统人工智能和计算智能在结构健康监测系统中开发智能和有效的数据处理、解释和存储。这项技术中的传统人工智能将描述问题，并使用显式规则建立逻辑推理。计算智能包括一个由简单单元组成的相互连接的网络，它将用于从特定的输入数据中获取有关输出的信息。这项创新的新颖性包括开发一种混合系统，将传统人工智能和计算智能的新技术结合在一起，自动完成数据采集和数据分析的过程。在核心技术中提供了云服务，用于在分析和评估之前和之后存储数据，以便进一步处理。最后，这项技术将解释分析的数据，以检测和定位损坏，并就基础设施资产的劣化水平做出决定。这将允许系统在危险发生之前确定所需的操作。这项技术将为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，即检查可靠性、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智力优势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.