SBIR Phase I: Smart IoT System for Rapid Condition Assessment of Bridges under Sudden Events
SBIR 第一阶段:突发事件下桥梁状况快速评估的智能物联网系统
基本信息
- 批准号:1913947
- 负责人:
- 金额:$ 22.47万
- 依托单位:
- 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:2019-07-01 至 2020-05-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The broader impact of this Small Business Innovation Research (SBIR) Phase I project will be in the railroad, civil infrastructure, and engineering services industries, by providing engineering firms and infrastructure owners the means to enhance public safety while significantly reducing the costs of bridge infrastructure monitoring and revenue losses due to infrastructure downtime due to sudden events. Thousands of sudden events, such as vehicle impacts and overweight vehicle crossings, occur annually on the over 700,000 bridges in the U.S. Many go unnoticed or unreported, despite their potential to induce structural failures or hidden damage that significantly reduces the structure's service life. This project will provide a cost-effective wireless solution to detect, quantify, and report sudden events on civil infrastructure in near real-time. The proposed solution will replace three existing types of monitoring systems with one compact, easy-to-deploy device at a fraction of the cost of even a single legacy system. The rapid condition assessment capability will further reduce traffic disruption, thereby lowering daily economic losses that can range in the millions of dollars and offering the potential to make the nation's transportation infrastructure safer.The proposed project seeks to develop a smart IoT monitoring system for rapid condition assessment of civil infrastructure under sudden events. Wired systems are prohibitively expensive for most structures, particularly bridges in remote locations, and existing wireless solutions following a duty-cycle approach to reduce power draw are incapable of always-on monitoring needed for sudden event detection. The objective of the research is to develop a low-cost IoT system to maintain always-on monitoring, so as not to miss an event, under a minimal power budget, without sacrificing data fidelity, and with a very low false positive rate. To this end, an asynchronously-triggered, synchronized data acquisition method will be developed, using high-fidelity wireless sensors that are tightly coupled with a programmable event-based switch capable of always-on operation. This method would enable the system to maintain ultralow-power operation indefinitely, and upon event detection, to rapidly transition to high-fidelity measurement. Uniquely, the pre- and post-event data are processed and stitched together across multiple sensors without the need for a priori synchronization. Experiments will be conducted to demonstrate the system?s capabilities to capture the onset of sudden events and present structural damage assessment in near real-time.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.
该小型企业创新研究(SBIR)第一阶段项目的更广泛影响将在铁路,民用基础设施和工程服务行业,通过为工程公司和基础设施所有者提供增强公共安全的手段,同时显着降低桥梁基础设施监控成本和因突发事件导致的基础设施停机而造成的收入损失。美国每年有超过70万座桥梁发生数千起突发事件,如车辆碰撞和超重车辆穿越。尽管这些事件可能导致结构失效或隐藏损坏,从而显著缩短结构的使用寿命,但许多事件未被注意或报告。该项目将提供一种具有成本效益的无线解决方案,以近实时地检测、量化和报告民用基础设施上的突发事件。拟议的解决方案将用一个紧凑、易于部署的设备取代现有的三种类型的监控系统,而成本甚至只是单个传统系统的一小部分。快速状态评估能力将进一步减少交通中断,从而降低每日数百万美元的经济损失,并提供使国家交通基础设施更安全的潜力。拟议项目旨在开发智能物联网监测系统,用于在突发事件下快速评估民用基础设施的状态。有线系统对于大多数结构来说是非常昂贵的,特别是偏远地区的桥梁,并且遵循占空比方法以减少功率消耗的现有无线解决方案无法进行突发事件检测所需的始终在线监控。该研究的目标是开发一种低成本的物联网系统,以保持始终在线的监控,以便在最小的功率预算下不会错过事件,而不会牺牲数据保真度,并且误报率非常低。为此,将开发一种触发式同步数据采集方法,使用高保真无线传感器,这些传感器与能够始终在线操作的可编程基于事件的开关紧密耦合。这种方法将使系统能够无限期地保持超低功耗操作,并在事件检测时快速过渡到高保真测量。独特的是,事件前和事件后的数据在多个传感器之间被处理和拼接在一起,而不需要先验同步。将进行实验,以证明该系统?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进行评估,被认为值得支持。
项目成果
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Kirill Mechitov其他文献
Adaptive edge intelligence for rapid structural condition assessment using a wireless smart sensor network
使用无线智能传感器网络进行快速结构状况评估的自适应边缘智能
- DOI:
10.1016/j.engstruct.2024.119520 - 发表时间:
2025-03-01 - 期刊:
- 影响因子:6.400
- 作者:
Shuaiwen Cui;Tu Hoang;Kirill Mechitov;Yuguang Fu;Billie F. Spencer - 通讯作者:
Billie F. Spencer
Kirill Mechitov的其他文献
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