In　this　study,　to　address　the　problems　of　multiple　dimensions,　large　scales,　complex　tension　resource　scheduling,　and　strict　quality　control　requirements　in　the　tensioning　process　of　cables　in　prestressed　steel　structures,　the　technical　characteristics　of　digital　twins　(DTs)　and　artificial　intelligence　(AI)　are　analyzed.　An　intelligent　tensioning　of　prestressed　cables　method　driven　by　the　integration　of　DTs　and　AI　is　proposed.　Based　on　the　current　research　status　of　cable　tensioning　and　DTs,　combined　with　the　goal　of　intelligent　tensioning,　a　fusion　mechanism　for　DTs　and　AI　is　established　and　their　integration　to　drive　intelligent　tensioning　of　prestressed　cables　technology　is　analyzed.　In　addition,　the　key　issues　involved　in　the　construction　of　an　intelligent　control　center　driven　by　the　integration　of　DTs　and　AI　are　discussed.　By　considering　the　construction　elements　of　space　and　time　dimensions,　the　tensioning　process　is　controlled　at　multiple　levels,　thereby　realizing　the　intelligent　tensioning　of　prestressed　cables.　Driven　by　intelligent　tensioning　methods,　the　safety　performance　evaluation　of　the　intelligent　tensioning　process　is　analyzed.　Combined　with　sensing　equipment　and　intelligent　algorithms,　a　high-fidelity　twin　model　and　three-dimensional　integrated　data　model　are　constructed　to　realize　closed-loop　control　of　the　intelligent　tensioning　safety　evaluation.　Through　the　study　of　digital　twins　and　artificial　intelligence　fusion　to　drive　the　intelligent　tensioning　method　for　prestressed　cables,　this　study　focuses　on　the　analysis　of　the　intelligent　evaluation　of　safety　performance.　This　study　provides　a　reference　for　fusion　applications　with　DTs　and　AI　in　intelligent　tensioning　of　prestressed　cables.