Digital Twins for Autonomous Operations and Maintenance of Offshore Renewable Devices based on Multi-access Edge Computing

基于多接入边缘计算的海上可再生设备自主运营和维护的数字孪生

• 批准号: 2594341
• 金额: --
• 依托单位: Plymouth University
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2594341
• 关键词: Digital; Twins; Autonomous; Operations; Maintenance

For a sustainable future, the world's energy source will eventually need to become renewable. This is a serious issue, which I personally have much concern for. By lowering the lifetime costs of offshore devices, I believe this will have a significant impact on the nation's financial capability, to produce more wind farms and other renewable alternatives. Considering that the Operation and maintenance makes up to a quarter of the lifetime costs, this will be an important challenge to overcome, and provides a perfect application for robotics and autonomous systems, to deliver rapid and cost-effective analysis of the structure's condition and performance.

为了一个可持续的未来，世界的能源最终将需要成为可再生能源。这是一个严重的问题，我个人对此非常关注。通过降低海上设备的使用寿命成本，我相信这将对国家的财政能力产生重大影响，从而产生更多的风力发电场和其他可再生能源替代品。考虑到操作和维护成本占整个生命周期成本的四分之一，这将是一个需要克服的重要挑战，并为机器人和自主系统提供了一个完美的应用，以提供对结构状况和性能的快速和经济有效的分析。