Large　scale　exhibition　is　a　complex　crowd　system,　providing　quality　service　for　many　tourists　is　an　important　issue　that　managers　must　pay　attention　to.　Intelligent　information　management　system　should　adopt　scientific　and　reasonable　resource　scheduling　sche-me　to　improve　the　efficiency　of　the　crowd　management.　Through　the　domestic　and　foreign　literature　research,　this　paper　points　out　the　deficiencies　in　the　previous　research,　and　analyzes　the　process　of　crowd　service　in　large-scale　exhibition　activities.　In　order　to　carry　out　the　management　of　tourist　service　resources　in　the　large　scale　exhibition,　the　concept　model　of　mobile　resource　scheduling　is　put　forward,　and　the　detailed　introduction　of　each　dimension　is　presented.　Multi-resource　scheduling　model　based　on　Dijkstra　and　multi-ant　colony　optimization　algorithms　are　established　respectively.　The　advantages　and　disadvantages　of　the　two　algorithms　are　compared　through　the　numerical　examples.　Dijkstra　algorithm　is　superior　to　multi-ant　colony　optimization　algorithm　in　the　cost　control,　but　in　the　running　time　of　the　algorithm,　multi-ant　colony　optimization　algorithm　is　better　than　Dijkstra　algorithm.　The　research　has　practical　significance　for　the　development　of　scientific　and　effective　population　service　operation　plan　and　service　management　plan　for　large　scale　exhibition　activities.