ASPIRE – Aerospace Special Processes Intelligence and Re-skilling of Employees

ASPIRE — 航空航天特殊流程情报和员工再培训

• 批准号: 85962
• 金额: $ 12.71万
• 依托单位: DNA.AM 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=85962
• 关键词: ASPIRE; Aerospace; Special; Processes; Intelligence

ASPIRE project innovation focuses on responding to the sustainable productivity need of aerospace special-process houses through the integration and piloting of our MVP vision intelligence application with our AeroDNA production-control solution. The combined solution will deliver the capability to extract real-time data on human performance to:* digitise human action from skilled special-process operators to provide automated time, motion and error capture data* alert operators about special-process defects and non-compliance vs. standardised process routes captured in AeroDNA so they can be remedied immediately* extract and segment video of human actions on the special-process house shop-floor to retain best-practice through digitalised knowledge transfer.* remote access to visualise special-process operations in real-time by distributed process engineering teams* capture unprecedented business intelligence about special-process human operations which will feed into the AeroDNA scheduling solution to optimise electroplating vats and heat treatment oven utilisation which significantly impacts energy consumption and sustainability.The approach leverages state-of-the-art AI computer vision to recognise operator actions on special processes to ensure that stringent aerospace quality standards are met. The use of convolutional neural networks offers more generalisability for pattern recognition and performs better for detecting anomalies compared to traditional automated optical inspection. A digital record of the actions that have been performed on a product can then be stored as a proof of quality management as well as be used to train new special-process operators. This record is useful for digitally connecting factories so that defects can be traced through supply-chains and used to prove quality standards.

ASPIRE项目创新的重点是通过将我们的MVP视觉智能应用程序与我们的AeroDNA生产控制解决方案集成和试点，满足航空航天特殊工艺工厂的可持续生产力需求。该组合解决方案将提供提取人类表现实时数据的能力，以：*将熟练的特殊工艺操作员的人类行为数字化，以提供自动化时间；运动和错误捕获数据*提醒操作员特殊工艺缺陷和不合规与AeroDNA捕获的标准化工艺路线，以便立即进行补救*提取和分割特殊工艺车间车间的人类行为视频，通过数字化知识转移保持最佳实践。*通过分布式过程工程团队远程访问实时可视化特殊过程操作*捕获有关特殊过程人工操作的前所未有的商业智能，这些智能将馈送到AeroDNA调度解决方案中，以优化电镀大桶和热处理烤箱的利用率，从而显著影响能源消耗和可持续性。该方法利用最先进的人工智能计算机视觉来识别操作员在特殊过程中的动作，以确保满足严格的航空航天质量标准。与传统的自动光学检测相比，卷积神经网络的使用为模式识别提供了更多的通用性，并且在检测异常方面表现更好。在产品上执行的操作的数字记录可以存储为质量管理的证明，也可以用于培训新的特殊工艺操作人员。这一记录对于工厂之间的数字化连接非常有用，这样就可以通过供应链追踪缺陷，并用于证明质量标准。