{"id":1125,"date":"2020-06-25T08:36:52","date_gmt":"2020-06-25T08:36:52","guid":{"rendered":"https:\/\/sdac.tech\/?p=1125"},"modified":"2020-07-06T13:14:40","modified_gmt":"2020-07-06T13:14:40","slug":"ki-im-bau-drei-unserer-ki-anwendungsfaelle%e2%80%8b","status":"publish","type":"post","link":"https:\/\/sdac.tech\/en\/ki-im-bau-drei-unserer-ki-anwendungsfaelle%e2%80%8b\/","title":{"rendered":"AI in construction - three of our AI use cases"},"content":{"rendered":"\t\t
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KI im Bau - drei unserer KI-Anwendungsf\u00e4lle<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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KI- Anwendungen f\u00fcr den Nutzer - den Nutzer kennen und verstehen!<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Einer unserer ersten Schritte zur Entwicklung humanzentrierter Anwendungen<\/b> war die Erstellung von Personas f\u00fcr jeden KI-Anwendungsfall. Eine Persona ist eine mehrdimensionale Beschreibung eines fiktiven und typischen Individuums, das zu einer Gruppe von Menschen mit gemeinsamen Interessen geh\u00f6rt. Personas<\/b> helfen, die Bed\u00fcrfnisse und Schmerzen der Benutzer zu verstehen und dadurch Ihre Anwendung so zu erstellen, wie der Benutzer sie tats\u00e4chlich benutzen m\u00f6chte.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Der Benutzer entscheidet, was ein Produkt oder eine Dienstleistung tun soll und wie es sich verhalten soll!<\/b><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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In den folgenden drei Videos stellen wir Euch drei unserer Anwendungsf\u00e4lle aus der Perspektive des zugeh\u00f6rigen Nutzers vor. Wer mehr von unseren Anwendungsf\u00e4llen und von KI im Bau erfahren m\u00f6chte, dem empfehlen wir unseren Newsletter. <\/a><\/b><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\n \n \n \n\n \n Normal\n 0\n \n \n 21\n \n \n false\n false\n false\n \n DE\n DE\n AR-SA\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n \/* Style Definitions *\/\n table.MsoNormalTable\n\t{mso-style-name:\"Normale Tabelle\";\n\tmso-tstyle-rowband-size:0;\n\tmso-tstyle-colband-size:0;\n\tmso-style-noshow:yes;\n\tmso-style-priority:99;\n\tmso-style-parent:\"\";\n\tmso-padding-alt:0cm 5.4pt 0cm 5.4pt;\n\tmso-para-margin-top:0cm;\n\tmso-para-margin-right:0cm;\n\tmso-para-margin-bottom:8.0pt;\n\tmso-para-margin-left:0cm;\n\tline-height:107%;\n\tmso-pagination:widow-orphan;\n\tfont-size:11.0pt;\n\tfont-family:\"Calibri\",sans-serif;\n\tmso-ascii-font-family:Calibri;\n\tmso-ascii-theme-font:minor-latin;\n\tmso-hansi-font-family:Calibri;\n\tmso-hansi-theme-font:minor-latin;\n\tmso-bidi-font-family:Arial;\n\tmso-bidi-theme-font:minor-bidi;\n\tmso-fareast-language:EN-US;}\n\n\nAnwendungsfall Objekterkennung<\/p><\/h5>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Die Quelldaten von Bauprojekten liegen oft nur in Papierpl\u00e4nen oder veralteten CAD-Modellen vor. Es fehlen die notwendigen Strukturen, um diese Daten als Grundlage f\u00fcr BIM zu verwenden. In SDaC entwickeln wir KI-Modelle, um diese Eingangsdaten zu verarbeiten und Objekte zu erkennen und zu beschriften. Zu Beginn konzentrieren wir uns speziell auf die Erkennung von elektronischen Symbolen in Baupl\u00e4nen.\u00a0 Zu diesem Zweck trainieren wir sogenannte „Convolutional Neural Networks“, die diese Symbole erkennen und beschriften.
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\n \n \n \n\n \n Normal\n 0\n \n \n 21\n \n \n false\n false\n false\n \n DE\n DE\n AR-SA\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n \/* Style Definitions *\/\n table.MsoNormalTable\n\t{mso-style-name:\"Normale Tabelle\";\n\tmso-tstyle-rowband-size:0;\n\tmso-tstyle-colband-size:0;\n\tmso-style-noshow:yes;\n\tmso-style-priority:99;\n\tmso-style-parent:\"\";\n\tmso-padding-alt:0cm 5.4pt 0cm 5.4pt;\n\tmso-para-margin-top:0cm;\n\tmso-para-margin-right:0cm;\n\tmso-para-margin-bottom:8.0pt;\n\tmso-para-margin-left:0cm;\n\tline-height:107%;\n\tmso-pagination:widow-orphan;\n\tfont-size:11.0pt;\n\tfont-family:\"Calibri\",sans-serif;\n\tmso-ascii-font-family:Calibri;\n\tmso-ascii-theme-font:minor-latin;\n\tmso-hansi-font-family:Calibri;\n\tmso-hansi-theme-font:minor-latin;\n\tmso-bidi-font-family:Arial;\n\tmso-bidi-theme-font:minor-bidi;\n\tmso-fareast-language:EN-US;}\n\n\nAnwendungsfall Mustererkennung<\/p><\/h5>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Aufbauend auf den Anwendungsfall „Objekterkennung“ wollen wir im n\u00e4chsten Schritt, basierend auf der Identifizierung von Objekten, auch Muster in digitalen Modellen identifizieren. Dies wird Planern helfen, identische Komponenten und Module zu finden, zu optimieren und zu kategorisieren. Dieser Prozess reduziert die Komplexit\u00e4t von Pl\u00e4nen und Konstruktionen.<\/span><\/p>\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

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\n \n \n \n\n \n Normal\n 0\n \n \n 21\n \n \n false\n false\n false\n \n DE\n DE\n AR-SA\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n \/* Style Definitions *\/\n table.MsoNormalTable\n\t{mso-style-name:\"Normale Tabelle\";\n\tmso-tstyle-rowband-size:0;\n\tmso-tstyle-colband-size:0;\n\tmso-style-noshow:yes;\n\tmso-style-priority:99;\n\tmso-style-parent:\"\";\n\tmso-padding-alt:0cm 5.4pt 0cm 5.4pt;\n\tmso-para-margin-top:0cm;\n\tmso-para-margin-right:0cm;\n\tmso-para-margin-bottom:8.0pt;\n\tmso-para-margin-left:0cm;\n\tline-height:107%;\n\tmso-pagination:widow-orphan;\n\tfont-size:11.0pt;\n\tfont-family:\"Calibri\",sans-serif;\n\tmso-ascii-font-family:Calibri;\n\tmso-ascii-theme-font:minor-latin;\n\tmso-hansi-font-family:Calibri;\n\tmso-hansi-theme-font:minor-latin;\n\tmso-bidi-font-family:Arial;\n\tmso-bidi-theme-font:minor-bidi;\n\tmso-fareast-language:EN-US;}\n\n\nAnwendungsfall Planungsautomatisierung<\/p><\/h5>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Auf der Grundlage von Regeln und Nutzervorgaben wollen wir k\u00fcnftig Raumlayouts automatisch generieren. Dieser KI-gest\u00fctzte Plangenerator erstellt schnell einen Bauplan, der dem Nutzer als Grundlage dient. Innerhalb der Generierung kann auch die Konformit\u00e4t mit Normen und Regeln \u00fcberpr\u00fcft werden.<\/p>\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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KI im Bau – Zusammen transformieren wir die Bauindustrie! Unser Weg zur digitalen Baustelle
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#ReduktionVonKomplexit\u00e4t #KI #K\u00fcnstlicheIntelligenz #Plattform #Digital #Bau #KiImBau #KIT #Airteam #Cyberforum #betonverein #DigitalesBauen #DIN #FARO #Fraunhofer #Goldbeck #G\u00dcB #IGP #Metis #Xitaso<\/p>

#Danke2BMWi #DankeDLR<\/span><\/p>\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<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

KI im Bau – drei unserer KI-Anwendungsf\u00e4lle KI- Anwendungen f\u00fcr den Nutzer – den Nutzer kennen und verstehen! Einer unserer ersten Schritte zur Entwicklung humanzentrierter Anwendungen war die Erstellung von Personas f\u00fcr jeden KI-Anwendungsfall. Eine Persona ist eine mehrdimensionale Beschreibung eines fiktiven und typischen Individuums, das zu einer Gruppe von Menschen mit gemeinsamen Interessen geh\u00f6rt.Continue reading „KI im Bau – drei unserer KI-Anwendungsf\u00e4lle\u200b“<\/span><\/a><\/p>","protected":false},"author":2,"featured_media":1144,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_header_footer","format":"standard","meta":{"_acf_changed":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[1],"tags":[],"class_list":["post-1125","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized","entry"],"acf":[],"jetpack_sharing_enabled":true,"jetpack_featured_media_url":"https:\/\/i0.wp.com\/sdac.tech\/wp-content\/uploads\/2020\/06\/Persona-2.png?fit=541%2C464&ssl=1","_links":{"self":[{"href":"https:\/\/sdac.tech\/en\/wp-json\/wp\/v2\/posts\/1125","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sdac.tech\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sdac.tech\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sdac.tech\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/sdac.tech\/en\/wp-json\/wp\/v2\/comments?post=1125"}],"version-history":[{"count":11,"href":"https:\/\/sdac.tech\/en\/wp-json\/wp\/v2\/posts\/1125\/revisions"}],"predecessor-version":[{"id":1160,"href":"https:\/\/sdac.tech\/en\/wp-json\/wp\/v2\/posts\/1125\/revisions\/1160"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/sdac.tech\/en\/wp-json\/wp\/v2\/media\/1144"}],"wp:attachment":[{"href":"https:\/\/sdac.tech\/en\/wp-json\/wp\/v2\/media?parent=1125"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sdac.tech\/en\/wp-json\/wp\/v2\/categories?post=1125"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sdac.tech\/en\/wp-json\/wp\/v2\/tags?post=1125"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}