I-Corps: Non-Destructive Evaluation of Infrastructure

I-Corps：基础设施的无损评估

• 批准号: 1924294
• 负责人: Jizhong Xiao
• 金额: $ 5万
• 依托单位: CUNY City College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-04-15 至 2020-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1924294&HistoricalAwards=false
• 关键词: Corps; Non; Destructive; Evaluation; Infrastructure

The broader impact/commercial potential of this I-Corps project is that the technology (robotic hardware and data analytic software) has the potential to be developed into a new product as a complete, self-contained robotic inspection tool that carries a RGB-depth camera and Ground Penetrating Radar (GPR) sensor with vertical mobility for detecting surface flaws and sub-surface defects. The use of the tool will allow the inspection of human-built structures to be performed significantly faster, more thoroughly and at a lower cost by eliminating the need for scaffolding or blocking traffic. It will also improve inspection safety and speed which leads to more frequent and on-demand inspections, thus making the national infrastructure more secure.This I-Corps project has the following innovations: 1) novel design of robotic inspection system carrying a RGB-depth camera to detect surface flaws, and a Ground Penetrating Radar (GPR) sensor to detect sub-surface defects on both ground and vertical surfaces that other robots cannot do; 2) a novel method that enable the robot to scan the surface in an arbitrary trajectory with accurate positioning and integrate the control with GPR signal processing to identify areas of delamination and locate subsurface embedment (rebar, pipes, fractures, voids, delamination, etc.) in concrete structures that will revolutionize the way GPR data is interpreted and displayed. The value proposition of the robotic inspection system includes: 1) automating the vision/GPR data collection process with minimal human intervention; 2) simplifying the robot control to scan the surface in an arbitrary trajectory; 3) making inspection results easy to understand by non-professionals; 4) and improving the inspection speed and accuracy.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.

I-Corps项目更广泛的影响/商业潜力在于，该技术（机器人硬件和数据分析软件）有可能开发成一种新产品，作为一种完整的、独立的机器人检查工具，携带RGB深度相机和具有垂直移动性的探地雷达（GPR）传感器，用于检测表面缺陷和地下缺陷。该工具的使用将使人类建造的结构的检查能够更快，更彻底，并通过消除对脚手架或阻塞交通的需要而以更低的成本进行。它还将提高检查的安全性和速度，从而使检查更加频繁和按需进行，从而使国家基础设施更加安全。1）携带RGB深度相机以检测表面缺陷的机器人检查系统的新颖设计，和一个探地雷达（GPR）传感器，用于检测地面和垂直表面上的地下缺陷，这是其他机器人无法做到的; 2）一种新的方法，该方法使机器人能够以任意轨迹扫描表面，具有精确的定位，并将控制与GPR信号处理相结合，以识别分层区域并定位地下埋置（钢筋、管道、裂缝、空隙、分层等）。这将彻底改变探地雷达数据的解释和显示方式。机器人检测系统的价值主张包括：1）自动化视觉/GPR数据收集过程，最大限度地减少人为干预; 2）简化机器人控制，以任意轨迹扫描表面; 3）使非专业人员易于理解检测结果;四、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。