Parallel　systems　are　a　kind　of　scientific　research　method　based　on　artificial　society　and　computational　experiments,　which　can　not　only　reflect　the　dynamic　process　of　real　system　but　also　optimize　the　control　process　of　the　real　system　in　real　time.　The　automatic　container　terminal　is　a　typical　complex　system　having　numerous　operating　schemes　and　a　large　number　of　constraints.　How　to　accomplish　the　container　transport　task　with　intermittent　and　batch　features　while　using　minimum　time　and　energy　consumption　is　a　major　issue,　which　involves　many　disciplines　such　as　mathematics,　control,　management　and　computer.　In　this　paper,　the　data　engine　is　used　as　the　basic　computing　unit　of　the　artificial　society　of　parallel　systems,　to　study　the　information　control　system　of　the　container　terminal.　As　a　computing　environment　for　graphical　configuration,　the　data　engine　is　ideal　for　modeling　and　computation　of　complex　systems.　With　the　support　of　the　visualization　and　dynamic　reconfiguration　technologies,　380　data　engines　are　used　to　perform　computational　experiments　on　the　automation　process　of　a　port　system,　which　consists　of　8　bridge　cranes,　25　AGVs　and　16　gantry　cranes.　The　results　indicate　the　effectiveness　of　the　data　engine　technology　for　parallel　systems,　and　the　computing　environment　composed　of　multiple　data　engines　can　greatly　reduce　the　modeling　complexity　of　the　port　information　control　system　as　well　as　make　the　information　management　work　with　the　control　process　cooperatively.　The　proposed　parallel　systems　can　connect　to　port　devices　directly　to　establish　a　parallel　relationship　between　＂artificial　container　terminal＂　and　＂physical　container　terminal＂　so　as　to　achieve　the　optimal　control　of　the　port　devices.　Copyright　©　2019　Acta　Automatica　Sinica.　All　rights　reserved.