I-Corps: Combining Traditional Building Inspection Sensors with Deep Learning and Robotics

I-Corps：将传统建筑检测传感器与深度学习和机器人技术相结合

• 批准号: 2232494
• 负责人: Chen Feng
• 金额: $ 5万
• 依托单位: New York University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-08-15 至 2024-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2232494&HistoricalAwards=false
• 关键词: Corps; Combining; Traditional; Building; Inspection

The broader impact/commercial potential of this I-Corps project is to improve buildings envelopes that exacerbate greenhouse gas emissions and cause quality of life problems. The technology seeks to provide a non-invasive, integrated solution to locate and document moisture intrusion, thermal bridges, and air leaks to diagnose building envelope issues. The system identifies and quantifies common envelope defects and applies long-wave radar and deep learning to detect hidden deep moisture penetration and other major envelope defects. With this system, it is possible to perform low-cost, targeted micro-retrofits to address envelope issues. This project has the potential to (1) increase the efficiency and detection abilities of building health monitoring techniques; (2) increase the resilience of built infrastructure through comprehensive asset management and preventative building maintenance owing to improved early detection capabilities; (3) enable a strong cross collaboration across local government, industry, non-profits, and academia.This I-Corps project is based on the development of a non-invasive, integrated solution to locate and document moisture intrusion, thermal bridges, and air leaks in buildings. The system identifies and quantifies common envelope defects and applies long-wave radar and deep learning to detect hidden deep moisture penetration and other major envelope defects. Once identified, it may be possible to perform low-cost, targeted micro-retrofits to address the envelope issues. This project is a amalgamation of a number of complementary technologies that have the potential to significantly improve the field of building health monitoring. Project outcomes may enhance the ability to solve current building envelope inspections problems, increase the resilience of widely-used aging commercial and residential infrastructures, and provide a foundation for further study of non-destructive testing on building envelopes.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.

该 I-Corps 项目更广泛的影响/商业潜力是改善建筑围护结构，这些围护结构会加剧温室气体排放并导致生活质量问题。该技术旨在提供一种非侵入式集成解决方案来定位和记录湿气侵入、热桥和空气泄漏，以诊断建筑围护结构问题。该系统识别和量化常见的包络线缺陷，并应用长波雷达和深度学习来检测隐藏的深层湿气渗透和其他主要包络线缺陷。通过该系统，可以进行低成本、有针对性的微型改造来解决围护结构问题。该项目具有以下潜力：(1) 提高构建健康监测技术的效率和检测能力； (2) 通过全面的资产管理和预防性建筑维护，提高早期检测能力，提高已建基础设施的复原力； (3) 实现地方政府、行业、非营利组织和学术界之间的强有力的跨合作。该 I-Corps 项目基于开发一种非侵入式集成解决方案，用于定位和记录湿气侵入、热桥和建筑物漏气。该系统识别和量化常见的包络线缺陷，并应用长波雷达和深度学习来检测隐藏的深层湿气渗透和其他主要包络线缺陷。一旦确定，就有可能进行低成本、有针对性的微型改造来解决围护结构问题。该项目融合了多种互补技术，有可能显着改善建筑健康监测领域。 项目成果可能会增强解决当前建筑围护结构检查问题的能力，提高广泛使用的老化商业和住宅基础设施的恢复能力，并为进一步研究建筑围护结构无损检测奠定基础。该奖项反映了 NSF 的法定使命和通过使用基金会的智力优点和更广泛的影响审查标准进行评估，该项目被认为值得支持。