Industrial　cloud　computing　is　considered　to　be　an　essential　technology　for　future　industrial　enterprises.　Under　the　influence　of　Industry　4.0　and　Industrial　Internet　concepts,　industrial　cloud　computing　related　technologies　are　becoming　a　hot　topic　in　recent　research.　How　to　observe　and　analyze　the　intermediate　and　final　results　of　industrial　cloud　computing　is　the　first　problem　to　be　solved　in　this　research　field.　This　paper　proposes　a　new　industrial　PaaS　(Platform-As-A-Service)　architecture,　which　has　a　very　important　relationship　with　the　visualization　of　industrial　cloud　computing,　and　it　deploys　a　large　number　of　structurally　symmetric　Data　Engine　computing　units.　Configuration　and　reusable　methods　are　used　in　this　paper　to　form　a　visualization　technical　framework　and　establish　a　data　mapping　relationship　with　the　Data　Engine,　which　significantly　improves　the　efficiency　of　visualization　application　development.　Finally,　we　validated　the　technology　using　an　industrial　internet　test　bed.　The　experimental　results　show　that　this　visualization　framework　technology　can　provide　industrial　users　with　an　advanced　industrial　application　development　environment,　and　effective　realtime　monitoring　of　industrial　cloud　computing　through　the　internet.　©　Published　under　licence　by　IOP　Publishing　Ltd.