Digitalization of Human Operations to Enable Smart Manufacturing Systems

人类操作数字化以实现智能制造系统

• 批准号: 2656746
• 金额: --
• 依托单位: University of Nottingham
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2656746
• 关键词: Digitalization; Human; Operations; Enable; Smart

This project aims to explored different methodologies to overcome the following research objectivesDeveloping novel sensing technologies to enable embedded sensors within the manual tool that allows the operator to conduct his/her job as normal.Correlation of the sensor(s) data to the process parameters and the operator performance (i.e., developing a model of the manual operations).Developing strategies to use the sensing data for the downstream process (i.e., convert the manual process parameters as a digital signature that travels with the product during the manufacturing journey).Big-data analysis for process optimization and training for new operators.

本项目旨在探索不同的方法，以克服以下研究目标：开发新的传感技术，使传感器能够嵌入手动工具中，使操作员能够正常工作。传感器(S)数据与工艺参数和操作员性能的相关性(即，开发手动操作的模型)。制定策略，将传感数据用于下游工艺(即，将手动工艺参数转换为数字签名，在制造过程中随产品一起传递)。大数据分析，用于工艺优化和对新操作员的培训。