To　solve　the　problem　of　low　transport　efficiency　of　large　rescue　equipment　during　disasters,　a　modular　division　method　for　large　rescue　equipment　based　on　correlation　was　proposed.　First,　a　mathematical　model　for　the　correlation　evaluation　of　components　was　established,　the　correlation　between　rescue　equipment　components　was　evaluated,　and　a　comprehensive　correlation　matrix　was　obtained.　Second,　a　hierarchical　clustering　algorithm　was　improved　for　rescue　equipment,　and　the　components　were　clustered　based　on　the　comprehensive　correlation　matrix　to　obtain　a　hierarchical　clustering　structure.　Finally,　a　multi-objective　optimization　model　of　the　rescue　equipment　module　division　scheme　was　established,　and　each　step　was　adapted　based　on　the　genetic　algorithm　to　obtain　the　optimal　module　division　scheme　of　the　rescue　equipment.　The　method　solves　several　problems　that　the　existing　methods　cannot　be　applied　to　rescue　equipment,　and　its　effectiveness　is　verified　in　YS220　hydraulic　excavator.　©　2024　Beijing　University　of　Technology.　All　rights　reserved.