AI and Robotics for Autonomous Maintenance and Inspection Systems (ARAMIS)

用于自主维护和检查系统的人工智能和机器人 (ARAMIS)

• 批准号: 2466663
• 金额: --
• 依托单位: University of Kent
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2466663
• 关键词: AI; Robotics; Autonomous; Maintenance; Inspection

Mechanical inspection and maintenance operations across many UK industries such as aerospace, manufacturing, rail transport, renewable energy, oil and gas, water, etc. are rapidly being automized and operator free. Along with this rapid shift from manual inspection to advanced monitoring tools (such as AR tools or digital twins), many businesses are interested in deploying smart multi-sensor technologies including Artificial Intelligence (AI) and robotics and autonomous systems (RAS) to make their inspection and maintenance processes less time-consuming and a lot easier. This project aims to develop advanced data-driven artificial intelligence (AI) and machine learning (ML) technologies for the purpose of inspection and monitoring of mechanical assets and infrastructure using a wide range of robotic and autonomous systems including remotely operating vehicles (ROV) and unmanned aerial vehicles (UAV). These technologies will have the capability of being adapted to different UK industries and assist them in inspecting their critical assets remotely, collecting required information (in different formats) in near real-time and preventing incidents before happening.

在英国，航空航天、制造业、铁路运输、可再生能源、石油和天然气、水等行业的机械检测和维护操作正在迅速实现自动化和无操作。随着从人工检查到高级监控工具（如AR工具或数字孪生）的快速转变，许多企业都有兴趣部署智能多传感器技术，包括人工智能（AI）、机器人和自主系统（RAS），以使他们的检查和维护过程更省时、更容易。该项目旨在开发先进的数据驱动人工智能（AI）和机器学习（ML）技术，用于使用广泛的机器人和自主系统（包括远程操作车辆（ROV）和无人机（UAV））检查和监测机械资产和基础设施。这些技术将能够适应不同的英国行业，帮助他们远程检查关键资产，近乎实时地收集所需的信息（不同格式），并在事故发生之前进行预防。