CPS: Synergy: Collaborative Research: Enhanced Structural Health Monitoring of Civil Infrastructure Systems by Observing and Controlling Loads using Cyber-Physical Systems

CPS：协同：协作研究：通过使用网络物理系统观察和控制负载来增强民用基础设施系统的结构健康监测

• 批准号: 1446330
• 负责人: Kincho Law
• 金额: $ 27.93万
• 依托单位: Stanford University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1446330&HistoricalAwards=false
• 关键词: CPS; Synergy; Collaborative; Research; Enhanced

Enhanced Structural Health Monitoring of Civil Infrastructure Systems by Observing and Controlling Loads using a Cyber-Physical System Framework The economic prosperity of the nation is dependent on vast networks of civil infrastructure systems. Unfortunately, large fractions of these infrastructure systems are rapidly approaching the end of their intended design lives. The national network of highway bridges is especially vulnerable to age-based deterioration as revealed by recent catastrophic bridge collapses in the United States. Two major bottlenecks currently exist that severely limit the effectiveness of existing bridge health management methods. First, the causal relationship between repeated truck loading and long-term structural deterioration is not well understood. Second, current management methods are reliant on visual inspections which only provide qualitative information regarding bridge health and introduce subjectivity in post-inspection decision making. This project aims to resolve these major bottlenecks by advancing a cyber-physical system (CPS) designed to monitor the health of highway bridges, control the loads imposed on bridges by heavy trucks, and provide visual inspectors with quantitative information for data-driven bridge health assessments. The CPS framework created will have enormous impact on the national economy by enhancing public safety while dramatically improving the cost-effectiveness of infrastructure management methods. The project will also create publically available graduate-level course curricula focused on CPS technology and engages inner-city middle-school students from underrepresented groups to prepare them to pursue careers in the science, technology, engineering, and mathematics (STEM) fields. The overarching goal of the research project is to create a scalable and robust CPS framework for the observation and control of mobile agents that asynchronously and transiently interact with a stationary physical system. While this class of problem is found throughout many engineering disciplines, the project focuses on the health management of highway bridges. The mobile agents relevant to bridge health are the trucks that load and introduce long-term damage in the bridge and inspectors who visually inspect the bridge. The task of devising a robust CPS framework will be challenged by the highly transient nature of the agents involved. Specifically, the compressed time of interaction between the truck and bridge results in tight time constraints on observation, quantification and control of the truck's loading. The project will rely on ad-hoc wireless communications to seamlessly integrate sensors embedded in the mobile agents (trucks and inspectors) with wireless sensors installed on the bridge and with servers dedicated to cloud-based analytics located on the Internet. The project will design the CPS framework to quantify in real-time truck loads based on sensor data streaming into the CPS framework. A distributed computing architecture will be created for the CPS framework to automate the decomposition of computational tasks in order to dramatically improve the speed and efficiency of the framework's data processing capabilities. Finally, the CPS framework will establish ad-hoc feedback control of the mobile agents in order to control mobile agent-stationary system interactions. In particular, feedback control of an instrumented truck allows the CPS framework to control the loads imposed on the bridge for improved health assessments. The CPS framework will be further extended to control visual inspection processes by providing inspectors with recommend inspection actions based on rigorous analysis of collected sensor data. The intellectual significance of the CPS framework is that it observes and controls truck loads on highway bridges for the first time while creating an entirely new data-driven paradigm for more accurate health assessment of infrastructure systems.

通过使用网络物理系统框架观察和控制负载来增强对民用基础设施系统的结构健康监测。国家的经济繁荣取决于庞大的民用基础设施系统网络。 不幸的是，这些基础设施系统的很大一部分正迅速接近其预期设计生活的尽头。 全国公路桥梁网络尤其容易受到基于年龄的恶化的影响，因为美国最近的灾难性桥梁崩溃了。目前存在两个主要的瓶颈，严重限制了现有的桥梁健康管理方法的有效性。 首先，重复的卡车加载与长期结构恶化之间的因果关系尚不清楚。 其次，当前的管理方法依赖于视觉检查，该检查仅提供有关桥梁健康的定性信息，并在检查后决策中引入主观性。 该项目旨在通过推进旨在监测高速公路桥梁健康的网络物理系统（CPS）来解决这些主要瓶颈，控制重型卡车对桥梁施加的负载，并为视觉检查员提供数据驱动的桥梁健康评估的定量信息。创建的CPS框架将通过增强公共安全，同时大大提高基础设施管理方法的成本效益，从而对国民经济产生巨大影响。 该项目还将创建专注于CPS技术的公共可用研究生课程课程，并吸引来自代表性不足小组的中学中学生，以准备他们从事科学，技术，工程和数学（STEM）领域的职业。 研究项目的总体目标是创建一个可扩展且强大的CPS框架，以观察和控制移动药物，并与固定物理系统异步和瞬时相互作用。尽管在许多工程学科中都发现了这类问题，但该项目着重于公路桥梁的健康管理。 与桥梁健康相关的移动特工是加载并在视觉检查桥梁的检查员中引入长期损坏的卡车。设计强大的CPS框架的任务将受到所涉代理的高度短暂性质的挑战。 具体而言，卡车和桥梁之间​​的相互作用的压缩时间会在观察，量化和控制卡车的装载方面严格限制。该项目将依靠临时无线通信来无缝整合移动设备（卡车和检查器）中嵌入的传感器，并在桥上安装了无线传感器，并使用服务器专用于Internet上的基于云的分析。 该项目将根据传感器数据流到CPS框架中设计CPS框架以在实时卡车负载中进行量化。 将为CPS框架创建一个分布式计算体系结构，以使计算任务的分解自动化，以显着提高框架数据处理功能的速度和效率。 最后，CPS框架将建立对移动代理的临时反馈控制，以控制移动代理系统的交互。特别是，对仪表卡车的反馈控制允许CPS框架控制桥上施加的负载，以改善健康评估。 CPS框架将进一步扩展以控制视觉检查过程，通过为检查人员提供基于对收集的传感器数据的严格分析的建议检查操作。 CPS框架的智力意义在于，它首次观察和控制卡车在高速公路桥上的负载，同时创建了一个全新的数据驱动范式，以更准确地对基础设施系统进行健康评估。