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

SBIR 第二阶段：用于智能土木结构网络询问的机器人系统

• 批准号: 0110217
• 负责人: Steven Arms
• 金额: $ 49.99万
• 依托单位: MICROSTRAIN INC
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-09-01 至 2004-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0110217&HistoricalAwards=false
• 关键词: SBIR; Phase; II; Robotic; Systems

This Small Business Innovation Research (SBIR) Phase II, project is aimed at the continued development and field testing of an autonomous robotic structural inspection system capable of remote powering and data collection from a network of embedded sensing nodes with 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 wires, which greatly enhances reliability and reduces 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 risk of catastrophic failure and will 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 acquire information about these structures, which will improve our understanding of the safety of civil structures and their requisite maintenance.Market potential is significant, as various task specific robots can be employed (with our 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.This Small Business Innovation Research (SBIR) Phase II project is aimed at the continued development and field testing of an autonomous robotic structural inspection system capable of remote powering and data collection from a network of embedded sensing nodes with 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 wires, which greatly enhances reliability and reduces 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 risk of catastrophic failure and will 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 acquire information about these structures, which will improve our understanding of the safety of civil structures and their requisite maintenance.Market potential is significant, as various task specific robots can be employed (with our 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（SBIR）第二阶段项目旨在继续开发和现场测试自主机器人结构检测系统，该系统能够通过互联网远程访问嵌入式传感节点网络进行远程供电和数据收集。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线，这大大提高了可靠性并降低了安装成本。 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获取有关这些结构的信息，这将提高我们对土木结构安全及其必要维护的了解。市场潜力巨大，因为可以使用各种特定任务的机器人（使用我们的系统）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、危险废物场地，小企业创新研究（SBIR）第二阶段项目旨在继续开发和现场测试自主机器人结构检测系统，该系统能够通过互联网远程访问嵌入式传感节点网络进行远程供电和数据收集。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线，这大大提高了可靠性并降低了安装成本。 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获得有关这些结构的信息，这将提高我们对土木结构安全及其必要维护的理解。市场潜力巨大，因为可以使用各种特定任务的机器人（使用我们的系统）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。