Inspector Plus

督察加号

• 批准号: 10079284
• 金额: $ 20.19万
• 依托单位: BLOC DIGITAL LTD
• 依托单位国家: 英国
• 项目类别: BEIS-Funded Programmes
• 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=10079284
• 关键词: Inspector; Plus

Our **vision for this project** is to disrupt the market for component Inspection in Aerospace by transforming transactional part sentencing into a life cycle value optimisation engine.Based on our extensive experience, developing geometry and data management solutions for Inspection, Maintenance, Repair and Overhaul service-support solutions for customers like Rolls-Royce, BAE Systems etc., we believe that the market is open to disruption.Bloc Digital offers a mobile inspection application called **Inspector**. Inspector is used to gather degradation data and images of parts in MRO shops and the field to generate a fleet-wide perspective on part performance in service.This project will create the **InspectorPlus** application, simplifying scanning and creation of 3D digital twins at part serial number level and transforming the ability to extract critical insight from the data.**\* InspectorPlus** will enable mobile device users to easily gather accurate Inspection data and apply deep learning to create accurate digital twins of each part.**\* InspectorPlus** will convert data into insights, enabling optimised life cycle design and support policies to be developed, saving up to 30% of total life cycle cost for typical high wear components.**\* InspectorPlus** will enable organisations to anticipate and avoid the worst impact of degradation through improved design, contain operational disruption through improved inspection planning and recover part usable life through optimised inspection criteria and repair opportunities.The digital twin will track part condition over time, transforming understanding of how parts degrade with use. Serialised digital twins can be combined virtually to generate insight into how the design standard, product and system are performing.The project applies an innovative mixture of technologies to create a step-change in the efficiency of creation of part digital-twins. Key innovations include the application of Neural Radiance Fields (NeRFs) to the gathering of data, the application of deep learning to create a parametric digital twins, highlighting the variations in degradation and deformation of the part based on known factors.Bloc Digital who will lead the project and develop and deliver the production application.The University of Derby's Department of Computing Science will contribute their extensive knowledge in data analytics and machine learning.DFS Consulting will join the project as a sub-contractor with their lead Consultant, Andy Harrison, a former Rolls-Royce Engineering Associate Fellow for Service Knowledge Management / Aston University Visiting Professor in Design for Service, providing his deep technical expertise on extracting the maximum service value from the data we gather.

我们对这个项目的**愿景**是通过将事务性零件判定转变为生命周期价值优化引擎来颠覆航空航天部件检测市场。基于我们丰富的经验，为劳斯莱斯、BAE系统等客户开发用于检测、维护、维修和大修的几何和数据管理解决方案-服务支持解决方案，我们相信市场是开放的。Bloc Digital提供名为**Inspector**的移动检测应用程序。Inspector用于收集MRO车间和现场部件的降级数据和图像，以生成对在役部件性能的全车队视角。此项目将创建**InspectorPlus**应用程序，简化部件序列号级别的3D数字孪生项的扫描和创建，并转变从数据中提取关键洞察力的能力。**\*InspectorPlus**将使移动设备用户能够轻松收集准确的检验数据并应用深度学习，以创建每个部件的准确数字孪生项。**\*InspectorPlus**将数据转换为洞察力，从而能够制定优化的生命周期设计和支持政策，为典型的高磨损部件节省高达30%的总生命周期成本。**\*InspectorPlus**将使组织能够通过改进设计来预测和避免退化的最坏影响，通过改进的检验计划来遏制运行中断，并通过优化的检验标准和维修机会来恢复部件的使用寿命。数字孪生部件将随着时间的推移跟踪部件的状况，改变对部件如何随着使用而退化的理解。系列化数字双胞胎可以虚拟地组合在一起，以洞察设计标准、产品和系统的表现。该项目应用了创新的技术组合，创造了部分数字双胞胎的创造效率的阶段性变化。主要创新包括应用神经辐射场(NERF)来收集数据，应用深度学习来创建参数数字孪生兄弟，基于已知因素突出零件退化和变形的变化。将领导该项目并开发和交付生产应用程序的Bloc Digital将贡献他们在数据分析和机器学习方面的广泛知识。DFS咨询公司将作为他们的首席顾问安迪·哈里森加入该项目，安迪·哈里森曾是劳斯莱斯工程助理研究员，负责服务知识管理/阿斯顿大学服务设计，提供他深厚的技术专长，从我们收集的数据中提取最大的服务价值。