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.
Internet of ThingsIntelligent ManufacturingManufacturing ProcessData QualityProduction Safety
NETL
NSTL
维普
万方数据
