Aiming　at　the　multi-task　cruising　problem　of　UAV　in　three-dimensional　uncertain　weather　environment,　a　path　planning　method　based　on　coyote　optimization　algorithm　is　proposed　in　this　paper.　First　of　all,　through　the　analysis　of　the　dynamic　changes　of　clouds,　the　destination　risk　assessment　model　is　constructed　as　the　safety　constraint　for　UAV　to　fly　in　uncertain　weather　environment,　and　then　the　problem　of　UAV　multi-task　cruise　is　analyzed.　a　method　of　UAV　multi-task　cruise　path　planning　is　proposed　to　maximize　the　benefits　of　UAV　cruise　decision-making.　Finally,　the　coyote　optimization　algorithm　is　used　to　make　the　optimal　decision　in　line　with　the　flight　constraints,　and　the　corresponding　path　coordinate　sequence　is　obtained　by　decoding.　The　simulation　results　show　that　this　method　can　find　the　path　that　satisfies　the　constraints　and　minimizes　the　penalty　cost,　so　that　the　UAV　can　ensure　the　flight　safety　at　the　same　time.　©　2022　ACM.