This　paper　designs　and　studies　the　general　structure　of　the　forging　production　line　based　on　CPS　in　view　of　the　processing　characteristics　of　multiple　varieties　and　small　batches　of　forging　production.　In　the　research　process,　the　author　built　the　CPS　perception　layer,　network　layer　and　control　layer　to　improve　the　intelligent　level　of　the　production　line　of　large-scale　key　bearing　components,　standard　parts　and　structural　parts　of　the　aircraft.　The　author　constructed　a　physical　model　of　the　host　equipment　for　forging　production　in　the　CPS　system,　obtained　production-related　data　of　physical　physical　equipment　through　sensors,　controllers,　and　collectors,　and　transmitted　the　data　to　the　platform　through　multi-dimensional　hybrid　sensing　and　synchronous　transmission　technology.　In　the　research　process,　the　author　uses　artificial　intelligence　data　processing　technology　to　normalize　and　merge　multi-source　heterogeneous　data　and　make　decisions,　and　finally　realize　the　feedback　response　to　the　decision　through　the　end　mechanical　hardware　such　as　controllers　and　actuators.　©　2021　IEEE.