Assembled　large-span　ring　truss,　constructed　using　circular　steel　tubes,　is　gaining　popularity　as　a　new　structural　form.　However,　the　insufficient　availability　of　design　and　modeling　methods　for　geometric　imperfection　of　components　poses　a　challenge　in　studying　the　cumulative　effects　of　these　imperfections　on　the　overall　structural　performance.　Therefore,　a　data-driven　strategy　for　analyzing　geometric　imperfections　in　assembled　ring　truss　structural　components　(circular　steel　tubes)　is　presented　in　this　study.　The　primary　objective　is　to　enable　the　design　of　geometric　imperfections　based　on　measured　data　and　establish　a　corresponding　equivalent　calculation　model　to　incorporate　the　measured　imperfections　into　the　structural　analysis　model.　The　core　of　this　strategy　lies　in　utilizing　the　high-precision　point　cloud　data　of　components　obtained　through　3D　laser　scanning　technology　as　the　primary　input.　The　geometric　imperfection　modes　are　extracted　accurately　and　rapidly　by　employing　a　developed　algorithm.　Furthermore,　a　comprehensive　framework　is　proposed　for　establishing　the　geometric　imperfection　calculation　model　based　on　the　identified　modes.　A　case　study　was　conducted　to　validate　the　proposed　strategy,　revealing　its　high　reliability.　Moreover,　it　is　recommended　to　extend　this　strategy　for　analyzing　geometric　imperfections　in　similar　building　structural　members.