DATA - Drone Design using AI for Transport Applications

这项为期6个月的可行性研究由Greenjets Ltd和世界领先的剑桥大学惠特尔实验室合作完成，旨在为运输行业的定制电动推进发动机开发可扩展的人工智能驱动设计，特别是针对高级空中移动解决方案，即无人机。定制无人机为各种最后一英里交付用例提供优化性能，与其他车辆相比，减少了能源消耗和排放。Greenjets作为早期收入的英国中小企业，面临着缓慢而昂贵的设计过程的挑战，阻碍了市场渗透。为了利用不断增长的AAM市场，Greenjets必须在更短的时间内实现最佳的定制设计。剑桥大学惠特尔实验室开发了一种结合快速测试和物理参数化的新方法来解决这个问题。这种方法的成功实施将实现人工智能驱动的决策，缩短设计时间，并允许Greenjets扩大生产，以有效地满足不同的客户需求。

This 6-month feasibility study, a collaboration between Greenjets Ltd and the world leading Whittle Laboratory, University of Cambridge, aims to develop a scalable AI-driven design for customised e-propulsion engines in the transport sector, specifically for Advanced Aerial Mobility solutions, i.e. drones.Customised drones offer optimised performance for various last-mile delivery use cases, reducing energy consumption and emissions compared to other vehicles.Greenjets, as an early-revenue UK SME, faces challenges in the slow and expensive design process, hindering market penetration. To capitalise on the growing AAM market, Greenjets must achieve optimal bespoke designs within shorter timeframes.The Whittle Laboratory, University of Cambridge has developed a novel methodology combining rapid testing and physical parameterisation to address this. Successful implementation of this methodology will enable AI-driven decision making, reducing design time and allowing Greenjets to scale production to meet diverse customer requirements efficiently.