SBIR Phase I: Robotic Systems for Network Interrogation of Smart Civil Structures

SBIR 第一阶段：用于智能土木结构网络询问的机器人系统

• 批准号: 9961188
• 负责人: Steven Arms
• 金额: $ 10万
• 依托单位: MICROSTRAIN INC
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-01-01 至 2000-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9961188&HistoricalAwards=false
• 关键词: SBIR; Phase; Robotic; Systems; Network

This Small Business Innovation Research Phase I project is aimed at developing an autonomous robotic structural inspection system capable of remote powering and data collection from a network of embedded sensing nodes, and providing remote data access via the internet. The system will utilize existing microminiature, multichannel , wireless, programmable Addressable Sensing Modules (ASM's) to sample data from a variety of sensors. These inductively powered nodes do not require batteries or interconnecting lead wires, which greatly enhances their overall reliability and reduces their installation cost. Networks of sensing nodes can be embedded, interrogated, and remotely accessed in applications where visual inspection by people is not practical due to: physical space constraints, remote geographic locations, high inspection costs, and high risks involved for those performing the inspections. The sensors can indicate the need for repair, replacement, or reinforcement, which will reduce the risks of catastrophic failures and would be useful after natural disasters, such as earthquakes, hurricanes, tornadoes, and floods. The availability of critical structural health data on the internet would greatly assist highway engineers and scientists, to improve their working database on these structures, which will improve our understanding of the safety of civil structures and their requisite maintenance.If successful, market potential could be significant, as various task-specific robots can be employed with the systems for remote inspection and internet data delivery from a broad spectrum of structures, such as: bridges, bridge footings, dams, offshore oil rigs, buildings, hazardous waste sites, and nuclear power plants.

该小型企业创新研究第一阶段项目旨在开发一种自主机器人结构检测系统，能够从嵌入式传感节点网络远程供电和数据收集，并通过互联网提供远程数据访问。该系统将利用现有的微型、多通道、无线、可编程可寻址传感模块（ASM）从各种传感器中采集数据。这些感应供电节点不需要电池或互连引线，这大大提高了它们的整体可靠性并降低了它们的安装成本。传感节点的网络可以嵌入，询问，并远程访问的应用程序中的视觉检查的人是不切实际的，由于：物理空间的限制，偏远的地理位置，高检查成本，以及高风险的执行检查。传感器可以指示需要维修，更换或加固，这将降低灾难性故障的风险，并在地震，飓风，龙卷风和洪水等自然灾害发生后非常有用。互联网上关键结构健康数据的可用性将极大地帮助公路工程师和科学家，以改善他们对这些结构的工作数据库，这将提高我们对土木结构安全及其必要维护的理解。如果成功，市场潜力可能是巨大的，由于各种特定任务的机器人可以与系统一起使用，用于从广泛的结构进行远程检查和互联网数据传输，例如：桥梁、桥基、水坝、海上石油钻井平台、建筑物、危险废物场和核电站。