This　study　applies　the　SPC　method　and　BP　neural　network　to　a　printing　process,　and　intelligent　monitoring　technology　of　printing　process　quality　is　researched.　The　factors　that　influence　the　prints　quality　are　analyzed,　and　the　printing　quality　management　database　is　established.　According　to　the　characteristics　of　the　printing　process　and　method　of　printing　quality　detection,　the　drawing　plan　of　control　chart　for　printing　process　is　also　established.　Through　the　experiments,　four　BP　neural　network　models　are　established　to　realize　intelligent　recognition　of　control　chart　patterns　and　characteristic　parameters　estimation　of　abnormal　patterns,　and　the　abnormal　causes　and　suggestions　are　further　obtained.　The　intelligent　monitoring　system　for　printing　process　quality　is　developed　based　on　analysis　and　research,　and　it　is　of　great　significance　to　improve　the　degree　of　automation　and　intelligence　of　the　printing　process.