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民用基础设施系统的结构健康监测国家的经济繁荣依赖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大部分正在迅速接近其预期设计寿命的终点。 美国最近发生的灾难性桥梁倒塌事件表明，全国公路桥梁网络特别容易因老化而老化。目前存在两个主要瓶颈，严重限制了现有桥梁健康管理方法的有效性。 首先，卡车重复装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目视检查，仅提供有关桥梁健康状况的定性信息，并在检查后决策中引入主观性。 该项目旨在通过推进网络物理系统（CPS）来解决这些主要瓶颈，该系统旨在监测公路桥梁的健康状况，控制重型卡车对桥梁施加的载荷，并为视觉检查员提供数据驱动的桥梁健康状况的定量信息评估。创建的 CPS 框架将通过增强公共安全同时显着提高基础设施管理方法的成本效益，对国民经济产生巨大影响。 该项目还将创建以 CPS 技术为重点的公开研究生水平课程，并吸引来自弱势群体的内城区中学生，为他们在科学、技术、工程和数学 (STEM) 领域追求职业做好准备。 该研究项目的总体目标是创建一个可扩展且强大的 CPS 框架，用于观察和控制与固定物理系统异步且瞬时交互的移动代理。虽然此类问题在许多工程学科中都存在，但该项目的重点是公路桥梁的健康管理。 与桥梁健康相关的移动代理是装载桥梁并造成长期损坏的卡车和目视检查桥梁的检查员。设计一个强大的 CPS 框架的任务将受到所涉及代理的高度瞬态性的挑战。 具体来说，卡车和桥梁之间​​相互作用的时间被压缩，导致卡车装载的观察、量化和控制受到严格的时间限制。该项目将依靠临时无线通信将嵌入移动代理（卡车和检查员）中的传感器与安装在桥上的无线传感器以及位于互联网上的专用于基于云的分析的服务器无缝集成。 该项目将设计 CPS 框架，根据流入 CPS 框架的传感器数据来量化实时卡车负载。 CPS框架将创建分布式计算架构，自动分解计算任务，从而大幅提高框架数据处理能力的速度和效率。 最后，CPS 框架将建立移动代理的临时反馈控制，以控制移动代理与固定系统的交互。特别是，仪表卡车的反馈控制允许 CPS 框架控制施加在桥梁上的负载，以改进健康评估。 CPS 框架将进一步扩展到控制目视检查过程，根据对收集的传感器数据的严格分析，为检查员提供建议的检查行动。 CPS 框架的智力意义在于，它首次观察和控制公路桥梁上的卡车负载，同时创建全新的数据驱动范例，以更准确地评估基础设施系统的健康状况。