As　an　important　tool　for　current　electric　power　patrol,　UAVs　show　intelligence　instead　of　traditional　human　patrol.　In　this　paper,　for　the　problem　of　patrol　planning　for　transmission　line　towers,　considering　the　risk　factors　of　UAV　patrol　in　post-disaster　environments,　a　multi-featured　risk　estimation　is　carried　out,　and　a　multi-objective　optimization　model　under　time　and　risk　conditions　is　established.　Secondly,　for　this　problem　model,　an　improved　genetic　algorithm　based　on　elite　guidance　(EGIGA)　is　used　for　optimization,　which　adopts　strategies　such　as　partial　elite　crossover　and　adaptive　mutation　to　accelerate　the　convergence　performance　of　the　algorithm.　Finally,　the　feasibility　and　effectiveness　of　the　method　in　this　paper　are　verified　through　example　simulation　and　algorithm　comparison.　©　2024　SPIE.