{"id":14556,"date":"2026-10-14T12:16:56","date_gmt":"2026-10-14T12:16:56","guid":{"rendered":"https:\/\/www.novotek.com\/dk\/?post_type=insights&#038;p=14556"},"modified":"2026-10-14T12:16:57","modified_gmt":"2026-10-14T12:16:57","slug":"enterprise-ot-dataplatform-og-arkitektur-saadan-skalerer-siemens-energy-ot-data-paa-tvaers-af-fabrikker","status":"publish","type":"insights","link":"https:\/\/www.novotek.com\/dk\/insight\/enterprise-ot-dataplatform-og-arkitektur-saadan-skalerer-siemens-energy-ot-data-paa-tvaers-af-fabrikker\/","title":{"rendered":"Enterprise OT-dataplatform og arkitektur: S\u00e5dan skalerer Siemens Energy OT-data p\u00e5 tv\u00e6rs af fabrikker"},"content":{"rendered":"<div class=\"container-md paragraph  \">\n<p class=\"wp-block-paragraph\">For globale industrivirksomheder er udfordringen sj\u00e6ldent at indsamle data. Udfordringen er at skabe en struktur, hvor data fra forskellige fabrikker, produktionslinjer og systemer kan anvendes p\u00e5 samme m\u00e5de. <\/p>\n<\/div>\n\n<div class=\"container-md paragraph  \">\n<p class=\"wp-block-paragraph\">Uden f\u00e6lles standarder bliver det sv\u00e6rt at sammenligne performance, udrulle digitale l\u00f8sninger og skalere nye initiativer p\u00e5 tv\u00e6rs af organisationen.<\/p>\n<\/div>\n\n<div class=\"container-md embed  \">\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"How Siemens Energy Built a Scalable OT Data Architecture for AI\" width=\"1440\" height=\"810\" src=\"https:\/\/www.youtube.com\/embed\/1MCge8TsRvY?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n<\/div>\n\n<div class=\"container-md heading  \">\n<h2 class=\"wp-block-heading\">Fra lokale l\u00f8sninger til en global datastruktur<\/h2>\n<\/div>\n\n<div class=\"container-md paragraph  \">\n<p class=\"wp-block-paragraph\">Mange produktionsanl\u00e6g udvikler deres egne navngivningsregler, datamodeller og integrationsl\u00f8sninger over tid. Det fungerer ofte fint lokalt, men skaber udfordringer, n\u00e5r data skal deles eller analyseres p\u00e5 tv\u00e6rs af fabrikker.<\/p>\n<\/div>\n\n<div class=\"container-md paragraph  \">\n<p class=\"wp-block-paragraph\">Hos Siemens Energy er m\u00e5let derfor ikke blot at indsamle data, men at sikre, at data beskrives og struktureres ens p\u00e5 tv\u00e6rs af organisationen. N\u00e5r produktionsdata f\u00f8lger f\u00e6lles modeller og standarder, bliver det muligt at genbruge dashboards, rapporter og analyser p\u00e5 tv\u00e6rs af lokationer frem for at udvikle dem p\u00e5 ny hver gang.<\/p>\n<\/div>\n\n<div class=\"container-md heading  \">\n<h2 class=\"wp-block-heading\">Standardisering t\u00e6t p\u00e5 kilden<\/h2>\n<\/div>\n\n<div class=\"container-md paragraph  \">\n<p class=\"wp-block-paragraph\">En central del af arkitekturen er brugen af <a href=\"https:\/\/www.novotek.com\/dk\/digitalisering\/dataops\/highbyte-intelligence-hub\/\" data-type=\"page\" data-id=\"1329\"><strong>HighByte Intelligence Hub<\/strong><\/a> til at modellere og strukturere data allerede t\u00e6t p\u00e5 produktionsudstyret.<\/p>\n<\/div>\n\n<div class=\"container-md paragraph  \">\n<p class=\"wp-block-paragraph\">I stedet for at sende r\u00e5 signaler direkte videre til centrale systemer bliver data beriget med kontekst og organiseret efter f\u00e6lles principper. Det skaber en ensartet repr\u00e6sentation af udstyr, processer og produktionsdata, uanset hvor i organisationen de stammer fra.<\/p>\n<\/div>\n\n<div class=\"container-md paragraph  \">\n<p class=\"wp-block-paragraph\">Fordelen er, at nye fabrikker og produktionslinjer kan integreres hurtigere, samtidig med at kvaliteten og konsistensen af data forbedres.<\/p>\n<\/div>\n\n<div class=\"container-md heading  \">\n<h2 class=\"wp-block-heading\">Unified Namespace skaber sammenh\u00e6ng<\/h2>\n<\/div>\n\n<div class=\"container-md paragraph  \">\n<p class=\"wp-block-paragraph\">Siemens Energy arbejder med principperne bag <a href=\"https:\/\/www.novotek.com\/dk\/insight\/unified-namespace-uns\/\" data-type=\"insights\" data-id=\"8648\"><strong>Unified Namespace<\/strong><\/a> for at skabe et f\u00e6lles informationslag mellem OT- og IT-systemer.<\/p>\n<\/div>\n\n<div class=\"container-md paragraph  \">\n<p class=\"wp-block-paragraph\">N\u00e5r data publiceres i en f\u00e6lles struktur, f\u00e5r forskellige systemer adgang til den samme kilde til information. Det reducerer behovet for punkt-til-punkt-integrationer og g\u00f8r det lettere at udveksle data mellem produktionssystemer, analysev\u00e6rkt\u00f8jer og forretningsapplikationer.<\/p>\n<\/div>\n\n<div class=\"container-md paragraph  \">\n<p class=\"wp-block-paragraph\">Samtidig skabes et mere fleksibelt fundament, hvor nye applikationer kan kobles p\u00e5 uden omfattende \u00e6ndringer i den eksisterende infrastruktur.<\/p>\n<\/div>\n\n<div class=\"container-md heading  \">\n<h2 class=\"wp-block-heading\">Enterprise Orchestration af OT-data<\/h2>\n<\/div>\n\n<div class=\"container-md paragraph  \">\n<p class=\"wp-block-paragraph\">Arkitekturen handler ikke om at centralisere alt. Tv\u00e6rtimod underst\u00f8tter modellen, at fabrikkerne fortsat kan drive deres lokale systemer og processer, mens virksomheden opretholder f\u00e6lles standarder p\u00e5 tv\u00e6rs af organisationen.<\/p>\n<\/div>\n\n<div class=\"container-md paragraph  \">\n<p class=\"wp-block-paragraph\">Denne tilgang giver det bedste fra begge verdener:<\/p>\n<\/div>\n\n<div class=\"container-md list  \">\n<ul class=\"wp-block-list\"><div class=\"container-md list-item  \">\n<li>Lokal fleksibilitet t\u00e6t p\u00e5 produktionen<\/li>\n<\/div>\n\n<div class=\"container-md list-item  \">\n<li>Globale standarder for data og struktur<\/li>\n<\/div>\n\n<div class=\"container-md list-item  \">\n<li>Hurtigere implementering af digitale initiativer<\/li>\n<\/div>\n\n<div class=\"container-md list-item  \">\n<li>Nemmere deling af viden p\u00e5 tv\u00e6rs af fabrikker<\/li>\n<\/div><\/ul>\n<\/div>\n\n<div class=\"container-md paragraph  \">\n<p class=\"wp-block-paragraph\">Dermed kan Siemens Energy skalere l\u00f8sninger globalt uden at miste den lokale forankring.<\/p>\n<\/div>\n\n<div class=\"container-md heading  \">\n<h2 class=\"wp-block-heading\">Et f\u00e6lles fundament for Analytics og AI<\/h2>\n<\/div>\n\n<div class=\"container-md paragraph  \">\n<p class=\"wp-block-paragraph\">N\u00e5r data er standardiseret og organiseret efter f\u00e6lles principper, bliver det langt lettere at underst\u00f8tte analyser, rapportering og AI-initiativer.<\/p>\n<\/div>\n\n<div class=\"container-md paragraph  \">\n<p class=\"wp-block-paragraph\">I stedet for at bruge tid p\u00e5 datarensning og integration kan teams fokusere p\u00e5 at skabe indsigt og v\u00e6rdi. Samtidig bliver nye l\u00f8sninger lettere at implementere, fordi de allerede bygger p\u00e5 et f\u00e6lles datagrundlag.<\/p>\n<\/div>\n\n<div class=\"container-md heading  \">\n<h2 class=\"wp-block-heading\">Arkitektur f\u00f8r teknologi<\/h2>\n<\/div>\n\n<div class=\"container-md paragraph  \">\n<p class=\"wp-block-paragraph\">En af de vigtigste erfaringer fra Siemens Energy er, at en succesfuld digital strategi starter med arkitekturen.<\/p>\n<\/div>\n\n<div class=\"container-md paragraph  \">\n<p class=\"wp-block-paragraph\">Teknologier som Analytics, Machine Learning og AI kan kun skabe v\u00e6rdi, n\u00e5r de underst\u00f8ttes af en dataplatform med klare standarder, konsistente informationsmodeller og en struktur, der kan skaleres p\u00e5 tv\u00e6rs af organisationen.<\/p>\n<\/div>\n\n<div class=\"container-md paragraph  \">\n<p class=\"wp-block-paragraph\">Ved at kombinere HighByte Intelligence Hub og Snowflake har Siemens Energy etableret en arkitektur, der forbinder OT og IT p\u00e5 tv\u00e6rs af fabrikker og skaber et robust fundament for fremtidens datadrevne produktion.<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>For globale industrivirksomheder er udfordringen sj\u00e6ldent at indsamle data. Udfordringen er at skabe en struktur, hvor data fra forskellige fabrikker, produktionslinjer og systemer kan anvendes p\u00e5 samme m\u00e5de. Uden f\u00e6lles standarder bliver det sv\u00e6rt at sammenligne performance, udrulle digitale l\u00f8sninger og skalere nye initiativer p\u00e5 tv\u00e6rs af organisationen.<\/p>\n","protected":false},"featured_media":0,"template":"","insight_category":[30],"class_list":["post-14556","insights","type-insights","status-publish","hentry","insight_category-artikel"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>S\u00e5dan skalerer Siemens Energy OT data p\u00e5 tv\u00e6rs af fabrikker<\/title>\n<meta name=\"description\" content=\"For globale industrivirksomheder handler udfordringen ikke om at indsamle data, men om at skabe struktur og sammenh\u00e6ng p\u00e5 tv\u00e6rs af fabrikker og systemer.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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