In　order　to　improve　the　automatic　planning　and　adaptive　scheduling　ability　of　sailing　route　and　guide　the　management　of　sailing　route,　an　optimal　path　planning　model　based　on　fuzzy　neural　network　is　proposed.　The　control　instruction　information　of　sailing　route　planning　is　extracted　by　using　wireless　sensor　networking　information　scheduling　technology,　and　the　sailing　route　planning　is　carried　out　by　combining　the　network　information　recognition　and　pattern　scheduling　of　sailing　route　at　sea.　The　statistical　big　data　is　extracted,　the　fuzzy　scheduling　of　the　associated　feature　set　after　information　sampling　is　carried　out,　and　the　fuzzy　neural　network　control　technology　is　used　to　automatically　screen　and　optimize　the　route　of　sailing　route　planning　at　sea.　The　information　management　platform　of　the　Internet　of　things　is　constructed　to　carry　out　the　automatic　planning　and　distributed　cooperative　scheduling　of　the　sailing　route　at　sea,　and　the　statistical　data　of　the　route　planning　of　the　sailing　ship　collected　by　all　the　member　nodes　are　evenly　configured　in　the　cluster　of　things.　The　fuzzy　PID　neural　network　learning　method　is　used　to　plan　the　sailing　route　of　marine　sailboat,　and　the　distributed　cooperative　scheduling　of　sailing　route　planning　is　realized　according　to　the　result　of　automatic　optimization.　The　simulation　results　show　that　the　system　can　effectively　realize　the　automatic　planning　and　optimal　scheduling　of　sailing　route,　and　the　reliability　of　route　planning　is　high　and　the　convergence　is　good.