Enhancing maritime safety: developing an accessible real-time semantic wave imaging analyser for seakeeping

增强海上安全：开发一种易于使用的实时语义波成像分析仪，用于适航性

• 批准号: EP/X035778/1
• 负责人: Ya Huang
• 金额: $ 76.37万
• 依托单位: University of Portsmouth
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FX035778%2F1
• 关键词: Enhancing; maritime; safety; developing; accessible

Our proposed research aims to develop an ocean wave imaging analyser to predict wave- vessel-payload-crew interaction. This is a currently missing prerequisite for optimal seakeeping of fast vessels. Seakeeping, concerning the control of vessel motion when subjected to waves and the resulting effects on humans, systems, and mission capacity, remains one of the biggest challenges in maritime safety. Vessel operational practices (48%) and human factors (17%), both key to seakeeping, have been the main safety recommendations amongst 1212 investigations, conducted by the European Maritime Safety Agency in the past decade.Before making any control decisions, mitigating detrimental effects on seakeeping requires accurate and real-time modelling of the approaching waves in the perimeter of the vessel. The predicted wave loading is essential for any precise estimation of vessel motion, but it is absent. To derive such a model, 3D wave geometry evolving in real time - a dynamic 4D scene - is required. However, the computational time required for existing sensing and modelling approaches are too long for the decision windows of any vessel operations. This process presently takes more than tens of seconds in order to anticipate and react at close proximity. This leads to three specific challenges we propose to tackle.1) Develop a real-time stereo wave imaging system for fast vessels to create an imaging database in order to reconstruct accurate 4D wave scenes.2) Reduce inference time of extracting wave dynamic features, e.g. wave propagation speed, direction, magnitude by comparing and adapting different deep learning methods.3) Predict dynamic loading on the vessel, payload and crew from reconstructed 4D wave.Storms are expected to become more common and severe due to climate change. The maritime industries, including fishing, marine science, defence, offshore energy, and search and rescue services, will need to adapt. A shock mitigation strategy is essential for all crafts that undertake rough water transits manned or unmanned. In heavy seas, 'wave slams' induce high-acceleration events exposing occupants to mechanical shocks and whole-body vibration of extreme magnitudes with severe chronic and acute consequences on human health. The UK regulation based on the Control of Vibration Work Regulations 2005 and the Merchant Shipping and Fishing Vessel Regulations 2007, with daily limits for shock and vibration exposure. Similar legislation applies throughout Europe and other countries. It is not always practicable for fast vessel operators to carry out necessary activities and duties while complying with these limits. In many situations, crew shock and vibration exposures are the limiting factor of the operational capability.It is practical to provide crew with shock mitigating seating. Seats or cabs, however, protect the crew, but not the hull, hull-mounted equipment or payload. If the coxswain continues to drive to the same discomfort level, the loading on the vessel will be increased with the potential of immediate and long-term damages. This is a current area of concern in the whole industry. An experienced coxswain can maintain a high speed while mitigating the impact severity via constant adjustment of the helm and throttle. This skillset requires understanding of many factors: the characteristics of the oncoming wave and the likely response of the vessel and crew.The development of an 'intelligent' imaging system capable of reading the dynamic oncoming sea, sensing craft motion, and its effects on crew and cargo will be essential to the seakeeping and maritime safety.Our industrial-driven research will address this challenge through extensive onboard stereo imaging experimentation, state-of-the-art numerical modelling and development of new artificial intelligence framework. The outcomes will transform critical operational safety of merchant shipping, fishing, defence, offshore energy assets, rescue services.

我们提出的研究旨在开发海浪成像分析仪，以预测波血管 - 付费 - 荷载相互作用。这是目前缺少快速船只最佳海务的先决条件。海务，涉及对船只运动的控制，并对人类，系统和任务能力产生影响，仍然是海上安全方面最大的挑战之一。船只操作实践（48％）和人为因素（17％）（均为海务措施的关键）一直是1212次调查中的主要安全建议，该调查是欧洲海事安全局在过去十年中进行的。对海务的影响需要对容器周围的接近波的准确和实时建模。预测的波负荷对于对血管运动的任何精确估计至关重要，但不存在。要得出这样的模型，需要实时演变的3D Wave几何形状 - 动态4D场景。但是，对于任何船只操作的决策窗口而言，现有感应和建模方法所需的计算时间太长。目前，此过程需要超过数十秒钟的时间才能在接近近距离之前进行预测和反应。 1）为快速容器创建一个实时立体声波成像系统，以创建一个成像数据库，以重建准确的4D Wave场景。2）减少提取波动态特征的推理时间，例如波传播速度，方向，通过比较和调整不同的深度学习方法。3）预测船舶上的动态载荷，有效载荷和从重建的4D Wave中的机组人员预测，由于气候变化，预计将变得更加普遍和严重。海上行业，包括捕鱼，海洋科学，国防，海上能源以及搜救服务，都需要适应。减震策略对于所有经营人士或无人驾驶的粗糙水的手工艺品至关重要。在大海中，“波浪猛击”会引起高加速事件，使乘员发生机械冲击以及对人类健康的严重慢性和急性后果的极端幅度的全身振动。根据2005年振动工作法规的控制以及2007年的商品运输和渔船法规，《英国法规》，每日限制冲击和振动。在欧洲和其他国家 /地区适用类似的立法。快速船舶运营商在遵守这些限制的同时进行必要的活动和职责并不总是可行的。在许多情况下，机组人员的冲击和振动暴露是操作能力的限制因素，这是可为机组人员提供减轻休克座椅的实际情况。但是，座椅或出租车保护船员，但不能保护船体，安装船体的设备或有效载荷。如果库克斯温继续驱动到同一不适水平，则船上的负载将随着立即和长期损害的潜力而增加。这是整个行业目前关注的领域。经验丰富的Coxswain可以通过持续调整头盔和油门来缓解冲击严重程度，同时保持高速。这种技能需要了解许多因素：迎面浪潮的特征以及船只和机组人员的可能反应。货物对于海务和海上安全至关重要。我们的工业驱动研究将通过广泛的立体立体声成像实验，最新的数值建模和新的人工智能框架的开发来应对这一挑战。结果将改变商人运输，钓鱼，国防，离岸能源资产，救援服务的关键运营安全。