The　operation　and　maintenance　stage　of　the　long-span　prestressed　steel　structure　is　the　core　link　of　the　whole　life　cycle.　At　present,　there　are　few　studies　on　the　change　law　of　safety　risk　in　the　whole　process　of　operation　and　maintenance,　especially　the　research　on　the　analysis　and　prediction　of　the　change　law　of　safety　risk　in　the　whole　process　of　structural　operation　and　maintenance　by　effectively　using　the　abundant　monitoring　data　and　relevant　safety　risk　information　in　the　operation　and　maintenance　stage,　which　also　affects　the　prestressed　steel,　which　also　affects　the　efficiency　of　judgment　and　control　decision-making　of　operation　and　maintenance　safety　state　of　prestressed　steel　structure.　Taking　the　spoke-type　cable　truss　as　an　example,　this　paper　proposes　a　new　concept　of　integrating　the　digital　twin　model　(DTM)　with　steel　structure　operation　and　maintenance　safety.　Through　the　combination　of　real　physical　space　dimensions　and　digital　virtual　space　dimensions,　it　is　based　on　a　hypothetical　analysis　model.　In　the　above,　a　theoretical　framework　is　proposed,　and　a　case　analysis　of　a　prestressed　steel　structure　is　carried　out　from　big　data,　and　the　feasibility　of　applying　this　method　in　the　prestress　loss　and　uneven　rain　and　snow　load　conditions　is　evaluated.　This　method　can　provide　guidance　for　operation　and　maintenance　management　and　formulate　strategies　in　time.