Strengthening　the　position　of　enterprises,　forming　high-quality　research　teams,　overcoming　key　core　technologies,　and　promoting　the　innovation-driven　intrinsic　growth　of　patent-intensive　industries　are　of　great　importance.　This　study　proposes　a　method　for　identifying　partners　based　on　a　dual-layer　network　model　under　the　perspective　of　technology　convergence.　Within　the　knowledge　network,　the　method　utilizes　a　patent　family　citation　network　to　reveal　the　technology　convergence　path.　By　combining　technological　diversity,　path　generality,　and　path　novelty,　it　identifies　opportunities　for　technology　convergence　along　the　path.　In　the　social　network,　the　method　relies　on　the　technological　knowledge　status　of　patentees,　assessing　the　level　of　complementary　and　redundant　knowledge　among　patentees　to　measure　the　focal　company＇s　cooperative　and　competitive　relationships,　thus　identifying　suitable　partners.　An　empirical　analysis　is　conducted　using　the　example　of　the　Unmanned　Aerial　Vehicle　(UAV)　tracking　telemetry　and　command　system　(TT&C　system).　The　research　results　demonstrate　that　this　method　effectively　identifies　opportunities　for　technology　convergence　along　the　technology　convergence　path,　enabling　the　selection　of　partners　to　form　high-quality　innovation　teams　and　strengthen　industrial　control.　©　2023　ACM.