基于物联网边缘的智能装配工艺多模态数据质量保障方法研究
Multi-modal Data Quality Assurance Method of Intelligent Assembly Process Based on the Edge of Internet of Things
杨春雷 1和旭东 2史旭升 1王思远 1刘官民 1李立争3
作者信息
- 1. 中国运载火箭技术研究院,北京 100076
- 2. 中国运载火箭技术研究院,北京 100076;北京交通大学,北京 100044
- 3. 首都航天机械有限公司,北京 100076
- 折叠
摘要
目前,物联网和大数据技术的发展和使用掀起了一场新的工业革命.其中,广泛的网络连接和数据交换使制造技术和制造流程正在变得自动化和智能化.在智能制造的背景下,加强对智能制造过程中装配工艺数据的安全保障,是实现产品安全生产和交付的一个关键因素.本文以智能制造场景中的装配工艺多模态数据为研究基础,提出了一种基于物联网边缘的多模态数据质量保障方法.本方法可对用于智能决策的多模态数据存在的冗余标签进行清洗,以提升智能制造场景中装配过程中的数据质量,进而保障生产安全.
Abstract
The development and utilization of the Internet of Things(IoT)and Big Data technologies have sparked a new industrial revolution.The extensive network connectivity and data exchange in this context are enabling manufacturing technologies and processes to become increasingly automated and intelligent.In this scenario,ensuring the security of assembly process data in intelligent manufacturing becomes a crucial factor for the safe production and delivery of products.This paper is based on the multi-modal data of assembly processes in the intelligent manufacturing environment.It proposes an IoT-edge-based approach for ensuring the quality of multi-modal data.The method involves cleaning redundant labels from multi-modal data used for decision-making,thereby enhancing data quality during the assembly process in intelligent manufacturing and ultimately ensuring production safety.
关键词
物联网/智能制造/装配工艺/数据质量/生产安全Key words
Internet of Things/Intelligent Manufacturing/Manufacturing Process/Data Quality/Production Safety引用本文复制引用
出版年
2024
NETL
NSTL
维普
万方数据