In　order　to　improve　the　information　management　ability　of　port　public　logistics　under　the　environment　of　collection　and　distribution,　the　optimal　design　of　information　management　system　is　carried　out.　A　design　method　of　port　public　logistics　information　management　system　based　on　multi-thread　equilibrium　scheduling　and　fuzzy　conversion　control　is　proposed.　The　port　public　logistics　resource　information　is　collected　in　the　cloud　storage　environment,　and　the　attribute　allocation　of　the　collected　port　public　logistics　resource　information　is　carried　out　by　using　the　association　rule　mining　method.　According　to　the　attribute　classification　results　of　port　public　logistics　information　in　the　environment　of　collection　and　distribution,　the　fusion　of　resource　allocation　and　fuzzy　adaptive　equilibrium　is　carried　out,　and　the　fuzzy　scheduling　and　adaptive　classification　and　identification　of　port　public　logistics　resource　information　are　carried　out　in　the　environment　of　collection　and　distribution.　The　information　fusion　model　of　port　public　logistics　information　fusion　under　the　environment　of　centralized　and　distributed　transportation　is　constructed,　and　the　fuzzy　scheduling　method　is　used　to　realize　the　optimal　integration　of　port　public　logistics　resource　information.　The　software　of　port　public　logistics　information　management　system　is　developed　and　designed　in　embedded　environment,　and　the　network　design　and　modular　development　of　port　public　logistics　information　management　system　are　carried　out　by　using　ZigBee　protocol　in　the　environment　of　centralized　and　distributed　transportation.　The　test　results　show　that　the　designed　port　public　logistics　information　management　system　has　a　good　ability　to　integrate　port　public　logistics　information　resources,　and　the　recall　rate　of　resource　information　management　and　scheduling　is　high.