In response to the problems of multiple data sources

inconsistent description forms

and low utilization in helicopter assembly production lines

research was conducted on multi-source data perception and fusion application technology for helicopter assembly production lines. Firstly

the connotation and overall framework of multi-source data perception and fusion technology in production line operation were defined

including the construction of a multi-source data collection system for production lines

the construction of a multi-source data fusion model

the construction of a multisource data analysis and prediction model for assembly processes

and the application module for multi-source data analysis in production lines. Secondly

based on the multi-source data from actual assembly lines

we planned to adopt standardized production Internet of things (IOT) technology

ontology based semantic description methods

and multi-source data based quality mapping technology to provide feasible solutions for perception and fusion technology in production lines. Finally

the application measures of the above technologies in virtual operation process

including analysis of production line operation status

monitoring of equipment usage status

and improvement of assembly quality were elaborated

which provided a data foundation for the digital twin construction and virtual efficient operation of helicopter assembly production lines.