Knowledge Based Net Zero Solution for Manufacturing Sector

制造业基于知识的净零解决方案

• 批准号: 10043760
• 金额: $ 6.08万
• 依托单位: ESSESYSTEMS LIMITED
• 依托单位国家: 英国
• 项目类别: Grant for R&D
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10043760
• 关键词: Knowledge; Based; Net; Zero; Solution

**Development of Knowledge base systems for optimisation and automation of electrical car engine within the manufacturing sector towards achieving the Net Zero targets in the manufacturing sector.**This project aims to develop a a proof of concept Knowledge Based systems as an application, with generative and intuitive capabilities to optimise and automate electrical car engine design processes and principles enabling fast tracking of the UK manufacturing sector towards achieving UK Net Zero targets.The project will address the environmentally focused manufacturing design, for the delivery of supply chains and circular economy challenge as part of this call, with the focus on Manufacturing design for Net Zero using knowledge base engineering, Artificial intelligence (AI) , symbolic languages and advanced computing.

** 开发知识库系统，用于制造业电动汽车发动机的优化和自动化，以实现制造业的净零目标。该项目旨在开发一个基于知识的概念验证系统作为一个应用程序，具有生成和直观的能力，以优化和自动化电动汽车发动机设计流程和原则，使英国制造业能够快速跟踪实现英国净零目标。该项目将解决以环境为中心的制造设计，作为此次会议的一部分，我们将致力于供应链和循环经济挑战的交付，重点是使用知识库工程，人工智能（AI），符号语言和先进计算的Net Zero制造设计。