Reducing the Impact of Social distancing To Offshore Renewable Energy (RISTORE)

减少社交距离对海上可再生能源的影响 (RISTORE)

• 批准号: 78096
• 金额: $ 21.36万
• 依托单位: ROVCO LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 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=78096
• 关键词: Reducing; Impact; Social; distancing; Offshore

The offshore wind energy sector has been significantly impacted by COVID-19, primarily due to the implementation of social distancing regulations and their effect on staff on vessels. Offshore inspection, both for survey where new windfarms are to be installed, and for regular maintenance of existing infrastructure, have been affected by project delays and increased costs to businesses working in the sector. RISTORE will optimize the subsea inspection of offshore renewable energy assets with an intelligent data-oriented approach. RISTORE will reduce the human presence requirement on site by deploying a system based on state-of-the-art computer vision and machine learning on the edge, and the infrastructure to allow two-way communications with remote operators and analysts.The system will have benefits in several areas:* Environmental: by reducing the numbers of personnel required offshore, vessels used can be smaller and increased survey efficiency will reduce the time required at sea. This will have the effect of less fuel consumption reducing the direct environmental impact and the cost to the wind energy sector.* Cognitive load for operators: surveying tasks can be cognitively demanding and tedious. By employing machine learning, operators will be able to leverage an automated tool for inspection, increasing the efficiency and accuracy of surveys.* Increasing diversity and accessibility to the sector: by enabling onshore survey analysis and decision making, many of the barriers and restrictions to working in the sector are removed.* Sectoral resilience to COVID-19: Current restrictions now require lengthy quarantine periods and testing pre-deployment. Removing the requirement for many personnel to deploy offshore enables operations to continue whilst complying with social distancing / social bubble regulations.

海上风能行业受到COVID-19的严重影响，主要是由于实施社交距离规定及其对船上工作人员的影响。海上检查，无论是对新风场安装地点的调查，还是对现有基础设施的定期维护，都受到了项目延误和该行业企业成本增加的影响。RISTORE将通过面向数据的智能方法优化海上可再生能源资产的海底检测。RISTORE将通过在边缘部署基于最先进的计算机视觉和机器学习的系统，以及允许与远程操作员和分析师进行双向通信的基础设施，减少现场人员的存在要求。该系统将在以下几个方面带来好处：*环境：通过减少海上所需人员的数量，使用的船只可以更小，提高调查效率将减少海上所需的时间。这将减少燃料消耗，减少对环境的直接影响，并降低风能部门的成本。*操作员的认知负荷：测量任务可能对认知要求很高，而且很乏味。通过使用机器学习，操作人员将能够利用自动化工具进行检查，提高调查的效率和准确性。*增加该行业的多样性和可及性：通过陆上调查分析和决策，消除了该行业工作的许多障碍和限制。*部门抵御COVID-19的能力：目前的限制措施需要较长的隔离期和部署前的测试。取消了在海上部署大量人员的要求，使作业能够继续进行，同时符合社交距离/社交泡沫法规。