Safety Net: Unmanned offshore search and rescue

安全网：无人海上搜救

• 批准号: 77451
• 金额: $ 38.84万
• 依托单位: ZELIM 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=77451
• 关键词: Safety; Net; Unmanned; offshore; search

VISIONTo develop Safety Net, a resident marine based autonomous search and rescue service that will enable three significant changes in the design and operation of offshore wind farms to improve safety and profitability.Change 1: Provide 24/7 rapid emergency response for offshore wind farms that reduces casualty recovery time frames helping to save lives at sea. An unmanned solution eliminates the need for a secondary manned vessel to provide emergency response onsite, reducing the number of technicians required to work offshore which reduces the overall risk profile and the risk of COVID-19 transmission between personnel.Change 2: Enable offshore wind farm layout optimisation to improve the profitability of offshore wind farms. A resident marine-based search and rescue service removes the constraint of helicopter search and rescue which requires sites to be built in grid patterns.Change 3: Enable helicopter only operations for rapid repair/breakdown response. Current guidance requires a secondary means of rescue within 30 minutes of a helicopter in the event of an emergency. Safety Net would cover this requirement enabling helicopters to deploy without backup vessels.OBJECTIVES/ FOCUSThis project will bring the partners together required to develop a turn key search and rescue service. The partners will be integrating several state-of-the-art technologies with high TRL values and applying these in a novel manner.Working with our technology partners the key objectives are:* Create a machine learning / Artificial Intelligence (AI) solution to save lives. Employing input from both aerial and onboard multispectral sensors the solution will:- Autonomously navigate all deployed assets to the casualties, identified by location beacon or VHF DR.* Identify the signature of one or more casualties in the water.* autonomously manoeuvre assets, according to prevailing conditions, Collision Regulations and casualty location to a position where the casualty can be recovered* Employ the novel Casualty Conveyor Rescue System to recover conscious or unconscious casualties from the water to a place of shelter where their needs can be remotely assessed.* Employing a data solution, to communicate sensory and multispectral data from both aerial and surface assets to a Remote Operations Centre. The solution must provide primary low latency, high capacity bandwidth from a moving asset in multiple degrees of freedom* Employing 5G and fiber optic networks to provide secondary resilient communication via mobile assets and the Launch and Recovery System (LARS) base stations.By developing, testing and integrating these technologies we aim to offer the worlds first offshore autonomous marine based search and rescue service, helping to save lives at sea and build the wind farms of the future.

愿景开发安全网，这是一种基于驻地海上的自主搜索和救援服务，将使海上风电场的设计和运营发生三项重大变化，以提高安全性和盈利能力。变化1：为海上风电场提供24/7快速应急响应，减少伤亡恢复时间，帮助拯救海上生命。无人解决方案无需再配备第二艘载人船只在现场提供应急响应，从而减少了海上工作所需的技术人员数量，从而降低了整体风险状况以及人员之间传播COVID-19的风险。变化2：实现海上风电场布局优化，以提高海上风电场的盈利能力。驻地海上搜救服务消除了直升机搜救的限制，直升机搜救需要以网格模式建造站点。变化 3：仅允许直升机进行快速维修/故障响应。目前的指导意见要求，在发生紧急情况时，需要在 30 分钟内使用直升机进行辅助救援。安全网将满足这一要求，使直升机能够在没有备用船只的情况下进行部署。 目标/重点 该项目将汇集开发统包搜索和救援服务所需的合作伙伴。合作伙伴将整合多种具有高 TRL 值的最先进技术，并以新颖的方式应用这些技术。与我们的技术合作伙伴合作的主要目标是：* 创建机器学习/人工智能 (AI) 解决方案以拯救生命。利用来自空中和机载多光谱传感器的输入，该解决方案将：- 自动将所有部署的资产导航至由位置信标或 VHF DR 识别的伤亡人员。* 识别水中一名或多名伤员的签名。* 根据当时的情况、碰撞规则和伤亡人员位置，自动将资产移动到可以救援伤员的位置* 采用新型伤亡人员输送机 救援系统可将有意识或无意识的伤员从水中救到可以远程评估其需求的避难所。*采用数据解决方案，将来自空中和地面资产的感知和多光谱数据传送到远程操作中心。该解决方案必须从多个自由度的移动资产提供主要的低延迟、高容量带宽*，采用 5G 和光纤网络通过移动资产和发射和恢复系统 (LARS) 基站提供辅助弹性通信。通过开发、测试和集成这些技术，我们的目标是提供世界上第一个近海自主海事搜索和救援服务，帮助拯救海上生命并建设未来的风电场。