Building　operation　and　maintenance　(O&M)　processes　are　tedious.　Controlling　such　tedious　processes　requires　extensive　visualization　and　trustworthy　decision-making　strategies.　Unfortunately,　challenges　still　exist　as　existing　technologies　and　practices　can　hardly　achieve　effective　control　of　building　O&M　processes.　This　study　has　established　a　method　for　achieving　intelligent　control　of　building　O&M　processes　by　integrating　Global　Navigation　Satellite　System　(GNSS)　with　Digital　Twins　(DTs)　techniques.　Specifically,　GNSS　could　be　used　to　capture　real-time　building　information　during　building　O&M　processes.　Such　captured　real-time　information　realizes　the　intelligent　closed-loop　control　of　building　O&M　driven　by　DTs.　In　this　study,　the　authors　have　(1)　captured　the　dynamic　information　required　for　achieving　intelligent　control　of　building　O&M　processes,　(2)　established　a　DT　model　of　building　O&M　processes,　(3)　established　a　data　management　mechanism　of　intelligent　building　O&M　processes,　and　(4)　formalized　an　intelligent　building　O&M　decision　control　platform.　Finally,　the　authors　have　validated　the　proposed　method　using　the　2022　Beijing　Winter　Olympics　venue　as　a　case　study.　The　three-dimensional　coordinates　of　various　building　information　are　captured　based　on　GNSS　automatic　monitoring　system.　This　realizes　the　precise　positioning　of　O&M　elements　and　feedbacks　to　the　twin　model　of　the　venue.　Through　the　intelligent　analysis　and　prediction　of　O&M　information,　the　characteristics　of　various　O&M　accidents　are　obtained.　Finally,　under　the　navigation　function　of　GNSS,　the　processing　measures　are　accurately　formulated.　Results　indicate　that　the　proposed　GNSS-DTs-based　method　could　help　to　achieve　intelligent　control　of　large　building　O&M　processes.