{"id":35575,"date":"2023-01-06T08:52:40","date_gmt":"2023-01-06T08:52:40","guid":{"rendered":"https:\/\/beacontower.io\/ekstern-data-kombineret-med-tidsserier-og-maskindata\/"},"modified":"2023-01-12T09:54:36","modified_gmt":"2023-01-12T09:54:36","slug":"ekstern-data-kombineret-med-tidsserie-og-maskindata","status":"publish","type":"post","link":"https:\/\/beacontower.io\/da\/ekstern-data-kombineret-med-tidsserie-og-maskindata\/","title":{"rendered":"H\u00f8st forretningsgevinster ved at kombinere tidsserie- og maskindata med ekstern data"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;0px||0px||true|false&#8221; custom_padding=&#8221;0px||0px||true|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;||0px||false|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_testimonial _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>&#8220;Samlet set giver kombinationen af ekstern data med IoT og maskindata mere informerede og pr\u00e6cise beslutninger, hvilket f\u00f8rer til forbedret effektivitet, omkostningsbesparelser og reduceret risiko.&#8221;<\/p>\n<p>[\/et_pb_testimonial][et_pb_text _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Kombinationen af ekstern data med tidsserier og maskindata giver organisationer et mere komplet og holistisk overblik over deres drift. Ved at bringe en bredere vifte af datakilder ind, kan organisationer f\u00e5 en dybere forst\u00e5else af de faktorer, der driver deres drift, og tr\u00e6ffe mere informerede beslutninger om, hvordan de optimeres.<br \/>At kombinere ekstern data s\u00e5som energipriser, vejrudsigter og ERP-data med IoT og maskindata kan v\u00e6re yderst nyttigt til en r\u00e6kke forskellige applikationer. Her er blot nogle f\u00e5 eksempler p\u00e5, hvordan denne kombination kan udnyttes:<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;19px||0px||false|false&#8221; custom_padding=&#8221;0px||0px||false|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.19.4&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;||0px|||&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<ul>\n<li><strong>Forbedret energibalancering<\/strong>: Ved at kombinere vejrudsigter med tidsseriedata for energiforbrug og produktion kan fjernvarmeorganisationer bedre forudsige, hvad produktionsmixet skal v\u00e6re, n\u00e5r de har flere energikilder og en variabel eftersp\u00f8rgsel. For eksempel kan vind fra en bestemt retning f\u00f8re til en h\u00f8jere eftersp\u00f8rgsel, end temperaturen ellers ville indeb\u00e6re, og derfor kan man forbedre planl\u00e6gningen af produktionen.<\/li>\n<\/ul>\n<ul>\n<li><strong>\u00d8get profitabilitet<\/strong>: I fremstillingsindustrien kan IoT-sensorer bruges til at indsamle data om maskiners ydeevne og produktionsprocessen. Disse data kan bruges til at identificere ineffektivitet og optimere effektiviteten. Men n\u00e5r dette kombineres med eksterne data s\u00e5som ERP-data, skaber det et link til de \u00f8konomiske data, hvilket giver mulighed for en bedre forst\u00e5else for hvordan omkostningerne h\u00e6nger sammen med forskellige produktionsprocesser og deres underliggende maskindata..<\/li>\n<\/ul>\n<ul>\n<li><strong>Forbedret energistyring<\/strong>: Ved at integrere energiprisdata med IoT og maskindata kan virksomheder optimere deres energiforbrug og reducere omkostningerne. For eksempel, hvis energipriserne er h\u00f8je p\u00e5 et bestemt tidspunkt af dagen, kan en produktionsfabrik planl\u00e6gge energikr\u00e6vende opgaver til et andet tidspunkt, hvor priserne er lavere. P\u00e5 samme m\u00e5de kan vejrudsigter bruges til at justere varme- og k\u00f8lesystemer for at reducere energiforbruget<\/li>\n<\/ul>\n<ul>\n<li><strong>Forbedret supply chain management<\/strong>: Ved at integrere ekstern data s\u00e5som energipriser og vejrudsigter med IoT og maskindata, kan virksomheder bedre forudsige eftersp\u00f8rgsel og optimere deres forsyningsk\u00e6de. For eksempel, hvis energipriserne forventes at stige, kan virksomhederne v\u00e6lge at \u00f8ge produktionen p\u00e5 forh\u00e5nd for at drage fordel af lavere energiomkostninger. P\u00e5 samme m\u00e5de, hvis en storm forventes at forstyrre transporten, kan virksomheder justere deres produktions- og forsendelsesplaner i overensstemmelse hermed.<\/li>\n<\/ul>\n<ul>\n<li><strong>Forbedret forebyggende vedligeholdelse<\/strong>: Ved at kombinere maskindata med eksterne data, s\u00e5som vejrudsigter, kan virksomheder mere pr\u00e6cist forudsige, hvorn\u00e5r udstyr sandsynligvis vil svigte. For eksempel, hvis en maskine typisk g\u00e5r i stykker, n\u00e5r den uds\u00e6ttes for ekstrem varme eller kulde, kan en kombination af vejrdata med maskindata hj\u00e6lpe virksomheder med proaktivt at planl\u00e6gge vedligeholdelse for at undg\u00e5 uplanlagt nedetid. Eller det kan v\u00e6re, at ekstremt vejr f\u00f8rer til en \u00f8get produktion, og derfor b\u00f8r maskinerne v\u00e6re forberedte p\u00e5 mere slid.<\/li>\n<\/ul>\n<p>Samlet set giver kombinationen af ekstern data med IoT og maskindata mere informerede og pr\u00e6cise beslutninger, hvilket f\u00f8rer til forbedret effektivitet, omkostningsbesparelser og reduceret risiko.<\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.19.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>I Beacon Tower muligg\u00f8r vi ovenst\u00e5ende ved at bruge asset modeller baseret p\u00e5 Digital Twin Definition Language (DTDL). En asset model er en digital kopi af et fysisk aktiv eller system, der kan bruges til en r\u00e6kke forskellige form\u00e5l, herunder design, simulering, test og drift.<\/p>\n<p>Det er nyttigt at bruge Beacon Towers asset modeller til at strukturere IoT og maskindata, fordi det ogs\u00e5 giver mulighed for at skabe hierarkiske strukturer der passer den enkelte bruger. Disse strukturer repr\u00e6senterer forholdet mellem forskellige aktiver og systemer i en organisation.<\/p>\n<p>For eksempel kan en organisation bruge en asset model til at modellere en produktionsfabrik med individuelle aktiver s\u00e5som maskiner, transportb\u00e5nd og sensorer repr\u00e6senteret som underkomponenter i den overordnede model. Ved at bruge asset modeller til at strukturere disse data, kan organisationen spore, hvordan \u00e6ndringer p\u00e5 \u00e9n maskine kan p\u00e5virke ydeevnen af \u200b\u200bhele anl\u00e6gget, eller hvordan en sensorfejl kan p\u00e5virke produktionen.<\/p>\n<p>Ud over at hj\u00e6lpe organisationer med at forst\u00e5 sammenh\u00e6ngen mellem forskellige aktiver og systemer, g\u00f8r Beacon Towers hierarkiske asset modeller det ogs\u00e5 lettere at integrere og analysere data fra flere kilder. Dette kan is\u00e6r v\u00e6re nyttigt i komplekse, indbyrdes forbundne systemer, hvor data fra mange forskellige kilder skal analyseres for at tr\u00e6ffe informerede beslutninger.<\/p>\n<p>Se denne video om Beacon Tower asset modeller og se eksempler p\u00e5 integration af ekstern data:<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.19.4&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;0px||0px||false|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row _builder_version=&#8221;4.19.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.19.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_video src=&#8221;http:\/\/www.youtube.com\/watch?v=CDA7_l0E0fY&#8221; _builder_version=&#8221;4.19.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_video][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;0px||||false|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>L\u00e6s mere om hvordan Beacon Tower indg\u00e5r som en <a href=\"https:\/\/beacontower.io\/da\/byg-jeres-iot-platform-med-en-service-en-integrationsplatform-eller-med-byggesten\/\">integreret dataplatform i et enterprise IT-milj\u00f8<\/a>.<\/p>\n<h3><strong>For mere information:<\/strong><\/h3>\n<p>Partner, Mikael R\u00f6nde, <a href=\"mailto:mikael.ronde@glaze.dk\">mikael.ronde@glaze.dk<\/a><\/p>\n<p>L\u00e6s mere om de <a href=\"https:\/\/beacontower.io\/da\/azure-iot-cloud-edge-loesning\/\">forskellige Beacon Tower leveringsmuligheder<\/a>.<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>&#8220;Samlet set giver kombinationen af ekstern data med IoT og maskindata mere informerede og pr\u00e6cise beslutninger, hvilket f\u00f8rer til forbedret effektivitet, omkostningsbesparelser og reduceret risiko.&#8221;Kombinationen af ekstern data med tidsserier og maskindata giver organisationer et mere komplet og holistisk overblik over deres drift. Ved at bringe en bredere vifte af datakilder ind, kan organisationer f\u00e5 [&hellip;]<\/p>\n","protected":false},"author":5,"featured_media":35261,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[19],"tags":[],"class_list":["post-35575","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized-da"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>H\u00f8st forretningsgevinster ved at kombinere tidsserie- og maskindata med ekstern data - Beacon Tower<\/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:\/\/beacontower.io\/da\/ekstern-data-kombineret-med-tidsserie-og-maskindata\/\" \/>\n<meta property=\"og:locale\" content=\"da_DK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"H\u00f8st forretningsgevinster ved at kombinere tidsserie- og maskindata med ekstern data - Beacon Tower\" \/>\n<meta property=\"og:description\" content=\"&quot;Samlet set giver kombinationen af ekstern data med IoT og maskindata mere informerede og pr\u00e6cise beslutninger, hvilket f\u00f8rer til forbedret effektivitet, omkostningsbesparelser og reduceret risiko.&quot;Kombinationen af ekstern data med tidsserier og maskindata giver organisationer et mere komplet og holistisk overblik over deres drift. Ved at bringe en bredere vifte af datakilder ind, kan organisationer f\u00e5 [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/beacontower.io\/da\/ekstern-data-kombineret-med-tidsserie-og-maskindata\/\" \/>\n<meta property=\"og:site_name\" content=\"Beacon Tower\" \/>\n<meta property=\"article:published_time\" content=\"2023-01-06T08:52:40+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-01-12T09:54:36+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/beacontower.io\/wp-content\/uploads\/2022\/10\/Industry4.0-Dashboard-web.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1400\" \/>\n\t<meta property=\"og:image:height\" content=\"931\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Jakob Appel\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Skrevet af\" \/>\n\t<meta name=\"twitter:data1\" content=\"Jakob Appel\" \/>\n\t<meta name=\"twitter:label2\" content=\"Estimeret l\u00e6setid\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutter\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/beacontower.io\\\/da\\\/ekstern-data-kombineret-med-tidsserie-og-maskindata\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/beacontower.io\\\/da\\\/ekstern-data-kombineret-med-tidsserie-og-maskindata\\\/\"},\"author\":{\"name\":\"Jakob Appel\",\"@id\":\"https:\\\/\\\/beacontower.io\\\/da\\\/#\\\/schema\\\/person\\\/c241382a256ec0f2de3cc46babd7ab1d\"},\"headline\":\"H\u00f8st forretningsgevinster ved at kombinere tidsserie- og maskindata med ekstern data\",\"datePublished\":\"2023-01-06T08:52:40+00:00\",\"dateModified\":\"2023-01-12T09:54:36+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/beacontower.io\\\/da\\\/ekstern-data-kombineret-med-tidsserie-og-maskindata\\\/\"},\"wordCount\":1088,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\\\/\\\/beacontower.io\\\/da\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/beacontower.io\\\/da\\\/ekstern-data-kombineret-med-tidsserie-og-maskindata\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/beacontower.io\\\/wp-content\\\/uploads\\\/2022\\\/10\\\/Industry4.0-Dashboard-web.jpg\",\"articleSection\":[\"Uncategorized @da\"],\"inLanguage\":\"da-DK\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/beacontower.io\\\/da\\\/ekstern-data-kombineret-med-tidsserie-og-maskindata\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/beacontower.io\\\/da\\\/ekstern-data-kombineret-med-tidsserie-og-maskindata\\\/\",\"url\":\"https:\\\/\\\/beacontower.io\\\/da\\\/ekstern-data-kombineret-med-tidsserie-og-maskindata\\\/\",\"name\":\"H\u00f8st forretningsgevinster ved at kombinere tidsserie- og maskindata med ekstern data - 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