SIRG: Highly Multiplexed Optical Fiber Sensing Networks for Infrastructure Monitoring

0427951安博王维吉尼亚技术传感器用于民用基础设施监测，要求具有密集多路复用、大跨度或大面积覆盖、最小维护、低成本、对一系列关键测量的多功能性响应和恶劣环境性能的能力。该项目的目标是开发一种新的光纤传感器技术，该技术将提高多路复用能力，并允许测量一些关键的结构健康和完整性参数，如压力、应变和温度。这项工作直接基于弗吉尼亚理工大学光子学技术中心最近展示的一种紫外线诱导本征法布里-珀罗涉型(IFPI)光纤传感器方法。通过数学建模和实验分析，深入了解传感器制造和多路复用参数的影响，从而优化传感器的性能特性。大量不同类型的传感器将使用分层和以数据为中心的混合方法来研究不同类型的数据聚合，以用于实时基础设施监控。。利用弗吉尼亚理工大学数学、电气工程、材料科学和计算机工程的专业知识，组建了一个多学科团队来实现这些目标。通过新颖的传感器设计和计算机网络，这项研究的成功完成将导致具有高空间分辨率和恶劣环境能力的大范围物理参数测量的传感器多路传输密度革命性地增加。这种能力将允许对关键的民用和工业基础设施进行实时监控，这对未来的经济增长和国土安全来说都是以前无法实现的规模。这是一个综合研究小组(IRG)的提案，由土木工程与机械系统部(CMS)在传感器倡议NSF04-522下提供支持。

0427951Anbo WangVirginia TechSensors for civil infrastructure monitoring require capability of dense multiplexing, long span or large area coverage, minimum maintenance, low cost, versatility response to a range of key measurands, and harsh environment performance. The objective of this project is to develop a new optical fiber sensor technology that would increase the multiplexing capability and permit measurement of a number of key structural health and integrity parameters, such as pressure, strain and temperature. This work is directly based on a newly demonstrated UV-induced intrinsic Fabry-Perot interferometric (IFPI) fiber sensor method at Virginia Tech's Center for Photonics Technology. Sensor performance characteristics will be optimized by developing a thorough understanding of the effect of sensor fabrication and multiplexing parameters through both mathematical modeling and experimental analysis. Different types of data aggregation will be investigated for real-time infrastructure monitoring by a large number of heterogeneous sensors using a hybrid of hierarchical and data-centric approaches. . A multidisciplinary team has been assembled to accomplish these objectives leveraging expertise from the mathematics, electrical engineering, materials science and computer engineering at Virginia Tech.Through novel sensor design and computer networking, the successful completion of the research will result in a revolutionary increase in sensor multiplexing density for large area coverage of physical parameter measurements with high spatial resolution and harsh environment capability. Such capabilities will permit real time monitoring of critical civil and industrial infrastructure both for future economic growth, and homeland security at a scale previously unrealizable. This is an integrated research group (IRG) proposal supported by Division of Civil & Mechanical Systems (CMS) under Sensors Initiative NSF04-522.