{"id":19814,"date":"2022-12-20T13:05:19","date_gmt":"2022-12-20T13:05:19","guid":{"rendered":"https:\/\/direc.dk\/?p=19814"},"modified":"2024-12-16T10:44:51","modified_gmt":"2024-12-16T10:44:51","slug":"kloge-robotter-skal-forhindre-produktionsnedbrud-for-milliarder","status":"publish","type":"post","link":"https:\/\/direc.dk\/da\/kloge-robotter-skal-forhindre-produktionsnedbrud-for-milliarder\/","title":{"rendered":"Kloge robotter skal forhindre produktionsnedbrud for milliarder"},"content":{"rendered":"\t\t
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20. DECEMBER 2022<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Kloge robotter skal forhindre produktionsnedbrud for milliarder<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Kunstig intelligens kan forebygge kostbare produktionsnedbrud og forudse, pr\u00e6cis hvorn\u00e5r et robotanl\u00e6g kr\u00e6ver service og vedligehold. Teknologien ventes at kunne spare industrivirksomheder for milliarder i tabt produktion og generelle serviceomkostninger.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Hvert \u00e5r taber globale virksomheder milliarder p\u00e5 driftsforstyrrelser og produktionsstop som f\u00f8lge af rutinem\u00e6ssigt vedligehold af robotanl\u00e6g.<\/p>\n

If\u00f8lge rapporten \u201dAn AI Nation\u201d, som er udgivet i samarbejde mellem Innovationsfonden og McKinsey & Company, koster driftsforstyrrelser og un\u00f8dvendig service private virksomheder mellem 14-19 milliarder \u00e5rligt.<\/p>\n

Det har f\u00e5et et hold forskere fra SDU, DTU, ITU og Alexandra Instituttet til at g\u00e5 sammen med en r\u00e6kke store danske virksomheder i et ambiti\u00f8st forskningsprojekt. Projektet skal afd\u00e6kke, hvordan kunstig intelligens og data-drevne metoder kan l\u00f8se problemet, s\u00e5 virksomhederne har mindst mulig spildtid, hvor produktionen st\u00e5r stille.<\/p>\n

I fremtiden skal robotter vedligeholde sig selv<\/strong><\/p>\n

Robotter bruges i dag over alt i produktionen \u2013 i vindm\u00f8lle-, elektronik-, medicinal- og f\u00f8devareindustrien er det i dag i h\u00f8j kollaborative robotter, som udf\u00f8rer arbejdet, forklarer Emil Stubbe Kolvig-Raun.<\/p>\n

Han er softwareingeni\u00f8r og erhvervsPhD ved Syddansk Universitet og ansat hos robotvirksomheden Universal Robots, som spiller en hovedrolle i forskningsprojektet. Universal Robots er verdens ledende producent inden for kollaborative robotter.<\/p>\n

– Kollaborative robotter er robotarme best\u00e5ende af led, som kan bev\u00e6ge sig inden for forskellige frihedsgrader. For enden af robotarmen kan p\u00e5s\u00e6ttes et eller flere eksterne v\u00e6rkt\u00f8jer, og efterf\u00f8lgende programmeres robotten til at bev\u00e6ge sig i henhold til arbejdet, der skal udf\u00f8res, forklarer han.<\/p>\n

Hidtil har vedligeholdelse af robotanl\u00e6g v\u00e6ret basereret p\u00e5 tid, s\u00e5 man fx hver tredje m\u00e5ned eller en gang om \u00e5ret k\u00f8rer rutinem\u00e6ssig service p\u00e5 et anl\u00e6g, men ved hj\u00e6lp af kunstig intelligens er det fremover muligt at forudsige, pr\u00e6cis hvorn\u00e5r et robotanl\u00e6g kr\u00e6ver vedligeholdelse og hvilken type vedligeholdelse, der skal s\u00e6ttes ind med, forklarer Emil Stubbe Kolvig-Raun.<\/p>\n

Kan man p\u00e5 den m\u00e5de planl\u00e6gge vedligeholdelsen, s\u00e5 produktionen forstyrres mindst muligt, er der k\u00e6mpe besparelser at hente. Kunstig intelligens g\u00f8r det fx muligt ud fra diverse faktorer omkring anl\u00e6gget \u2013 fx vind-, fugt-, slitage og andre forhold, som har betydning for udstyrets tilstand \u2013 at beregne, hvorn\u00e5r vedligeholdelse er n\u00f8dvendig. Det betyder, at man kan forebygge nedbrud og sikre, at robotterne bruges hensigtsm\u00e6ssigt, s\u00e5 levetiden forl\u00e6nges.<\/p>\n

– Vi har integreret robotter centralt i den globale produktion, fx har man m\u00e5ske 70 robotter st\u00e5ende \u2013 det er lavt sat \u2013 og der skal v\u00e6re flere af dem, som g\u00e5r i stykker, f\u00f8r det kan betale sig at lukke et helt omr\u00e5de ned, for s\u00e5 l\u00e6nge anl\u00e6gget st\u00e5r stille, g\u00e5r man glip af produktion og taber penge.<\/p>\n

– Hvor man i industrien tidligere har arbejdet med betingelsesbaseret monitorering, arbejder vi alts\u00e5 nu hen imod predictive maintenance og p\u00e5 sigt self-maintenance. I sidste ende er m\u00e5let, at robotterne skal kunne m\u00e5le deres egen sundhedstilstand, genkende fejlsymptomer og reagere p\u00e5 afvigelser. Det kan lade sig g\u00f8re, hvis robotten bliver bevidst om, hvilke data der b\u00f8r indsamles, og ved hj\u00e6lp af metrik forst\u00e5r, hvad det betyder, siger Emil Stubbe Kolvig-Raun.<\/p>\n

Forskningsprojektet \u2019Edge-based AI Systems for Predictive Maintenance\u2019 finder sted i et samarbejde mellem forskere fra SDU, DTU, ITU, Alexandra Instituttet \u2013 og fra erhvervslivet Universal Robots, Novo Nordisk og Otavic.<\/p>\n

Projektet str\u00e6kker sig over en 3,5-\u00e5rig periode og har et budget p\u00e5 12 mio. kr. DIREC har investeret 6,3 mio. kr. i forskningsprojektet, som afsluttes i 2024.<\/p>\n

Det er vigtigt, at vi kan regne med vores robotter. N\u00e5r vi fx sender robotter til m\u00e5nen og har dem p\u00e5 stor afstand, er det n\u00f8dvendigt at planl\u00e6gge i lang tid i forvejen. Vi skal kunne monitorere dem effektivt, f\u00f8r vi med sikkerhed kan forvente, at de er driftssikre i forskellige pressede situationer.<\/em>
\nEmil Stubbe Kolvig-Raun, erhvervsPhD, Syddansk Universitet\n<\/p><\/blockquote>\n

L\u00e6s mere her:<\/strong>
\nAn AI nation: Harnessing the opportunity of artificial intelligence in Denmark<\/a><\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

20. december 2022<\/b>
\nKunstig intelligens kan forebygge kostbare produktionsnedbrud og forudse, pr\u00e6cis hvorn\u00e5r et robotanl\u00e6g kr\u00e6ver service og vedligehold. Teknologien ventes at kunne spare industrivirksomheder for milliarder i tabt produktion og generelle serviceomkostninger.<\/p>\n","protected":false},"author":3,"featured_media":19806,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[179,31],"tags":[89,106,63],"class_list":["post-19814","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-future-of-work-da","category-nyheder","tag-impact-story-da","tag-p06-da","tag-ws2"],"yoast_head":"\nKloge robotter skal forhindre produktionsnedbrud for milliarder - DIREC<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/direc.dk\/da\/kloge-robotter-skal-forhindre-produktionsnedbrud-for-milliarder\/\" \/>\n<meta property=\"og:locale\" content=\"da_DK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Kloge robotter skal forhindre produktionsnedbrud for milliarder - DIREC\" \/>\n<meta property=\"og:description\" content=\"20. december 2022 Kunstig intelligens kan forebygge kostbare produktionsnedbrud og forudse, pr\u00e6cis hvorn\u00e5r et robotanl\u00e6g kr\u00e6ver service og vedligehold. 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