{"id":17561,"date":"2023-02-14T11:23:26","date_gmt":"2023-02-14T10:23:26","guid":{"rendered":"https:\/\/www.m-q.ch\/?p=17561"},"modified":"2023-02-14T11:23:26","modified_gmt":"2023-02-14T10:23:26","slug":"comment-la-fabrication-profite-de-lintelligence-artificielle-des-objets","status":"publish","type":"post","link":"https:\/\/www.m-q.ch\/fr\/comment-la-fabrication-profite-de-lintelligence-artificielle-des-objets\/","title":{"rendered":"Comment la fabrication profite de l'intelligence artificielle des objets"},"content":{"rendered":"<figure id=\"attachment_17562\" aria-describedby=\"caption-attachment-17562\" style=\"width: 680px\" class=\"wp-caption alignnone\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-17562\" src=\"https:\/\/www.m-q.ch\/wp-content\/uploads\/2023\/02\/Wie-die-Fertigung-vom-Artificial-Internet-of-Things-profitiert_MQ.jpg\" alt=\"\" width=\"680\" height=\"406\" srcset=\"https:\/\/www.m-q.ch\/wp-content\/uploads\/2023\/02\/Wie-die-Fertigung-vom-Artificial-Internet-of-Things-profitiert_MQ.jpg 680w, https:\/\/www.m-q.ch\/wp-content\/uploads\/2023\/02\/Wie-die-Fertigung-vom-Artificial-Internet-of-Things-profitiert_MQ-18x12.jpg 18w, https:\/\/www.m-q.ch\/wp-content\/uploads\/2023\/02\/Wie-die-Fertigung-vom-Artificial-Internet-of-Things-profitiert_MQ-375x224.jpg 375w, https:\/\/www.m-q.ch\/wp-content\/uploads\/2023\/02\/Wie-die-Fertigung-vom-Artificial-Internet-of-Things-profitiert_MQ-586x350.jpg 586w\" sizes=\"auto, (max-width: 680px) 100vw, 680px\" \/><figcaption id=\"caption-attachment-17562\" class=\"wp-caption-text\">La combinaison de l'IA et de l'IoT offre de nouvelles opportunit\u00e9s pour l'industrie. (Source de l'image : AdobeStock)<\/figcaption><\/figure>\n<p>L'Artificial Intelligence of Things consiste \u00e0 collecter des donn\u00e9es provenant de machines et de capteurs \u00e0 l'aide d'un MES\/MOM, \u00e0 les analyser et \u00e0 les interpr\u00e9ter. Il est ainsi possible d'\u00e9tablir des pr\u00e9visions et de mettre en place des processus d'auto-apprentissage. Il existe plusieurs possibilit\u00e9s pour la mise en \u0153uvre.<\/p>\n<h3>Intelligence artificielle des objets : symbiose de l'IA et de l'IoT<\/h3>\n<p>\"Gr\u00e2ce \u00e0 l'Internet des objets et \u00e0 une multitude de machines connect\u00e9es, de plus en plus de donn\u00e9es sont disponibles. Celles-ci sont toutefois sans valeur si elles ne sont pas int\u00e9gr\u00e9es de mani\u00e8re exploitable dans les processus de d\u00e9cision. Elles doivent donc \u00eatre trait\u00e9es le plus rapidement possible par des applications IA et \u00e9valu\u00e9es de mani\u00e8re intelligente. L'intelligence artificielle peut \u00e9galement \u00e9tablir des comparaisons avec d'autres processus, syst\u00e8mes et leurs donn\u00e9es et, en apprenant de ses exp\u00e9riences, r\u00e9soudre de mani\u00e8re autonome des t\u00e2ches futures, \u00e9viter les erreurs et optimiser les processus\", explique Martin Heinz, directeur de iTAC Software AG, un fournisseur de solutions MES\/MOM.<\/p>\n<p>La structure IoT a donc besoin de l'Intelligence Artificielle et celle-ci a \u00e0 son tour besoin de l'Internet des Objets comme source de donn\u00e9es. iTAC mise \u00e9galement sur cette symbiose et permet le streaming et l'analyse par lots sur une plate-forme centrale et \u00e9volutive avec un acc\u00e8s out-of-the-box aux donn\u00e9es MOM pour une production pr\u00e9dictible. La iTAC.MOM.Suite tire profit de la technologie IIoT la plus r\u00e9cente. Le logiciel iTAC.IIoT.Edge fait partie int\u00e9grante du syst\u00e8me MOM (Manufacturing Operations Management System), mais il peut \u00e9galement \u00eatre utilis\u00e9 de mani\u00e8re autonome et permet d'apporter en peu de temps des am\u00e9liorations significatives dans les processus de fabrication. Elle est capable de relier les donn\u00e9es IIoT aux donn\u00e9es MES pour former des structures de donn\u00e9es plates et d'analyser ces donn\u00e9es en temps r\u00e9el. Ce faisant, les paquets de donn\u00e9es peuvent \u00e9galement \u00eatre transmis \u00e0 d'autres outils d'analyse ou ML\/AI utilis\u00e9s par le client et des mod\u00e8les ML cr\u00e9\u00e9s sur d'autres plateformes peuvent \u00eatre int\u00e9gr\u00e9s.<\/p>\n<h3>La maintenance pr\u00e9dictive comme cas d'utilisation<\/h3>\n<p>\"Les applications bas\u00e9es sur le Machine Learning et l'intelligence artificielle dans le domaine de l'Analytics rendent possible des analyses plus sophistiqu\u00e9es et de meilleure qualit\u00e9 que les technologies et algorithmes traditionnels ne peuvent le faire. L'intelligence artificielle peut par exemple trouver des mod\u00e8les complexes dans les donn\u00e9es, tirer des conclusions et faire ainsi des pr\u00e9dictions\", explique Martin Heinz. L'utilisation de la solution Edge d'iTAC permet d'\u00e9laborer de nombreux cas d'utilisation ML\/AI pour la fabrication avanc\u00e9e et num\u00e9ris\u00e9e, comme par exemple dans le domaine de la pr\u00e9diction. La surveillance correspondante des donn\u00e9es des machines et des capteurs permet par exemple de pr\u00e9dire les pannes de machines. Les arr\u00eats impr\u00e9vus des machines peuvent ainsi \u00eatre r\u00e9duits jusqu'\u00e0 70 %. Un autre cas d'utilisation est la r\u00e9duction des d\u00e9penses de test. La plupart des lignes SMT avec AOI sont confront\u00e9es \u00e0 un taux \u00e9lev\u00e9 d'appels erron\u00e9s. L'IA permet de faire une distinction pr\u00e9cise entre les vrais d\u00e9fauts et les faux appels. Cela r\u00e9duit le besoin d'inspection manuelle par les op\u00e9rateurs jusqu'\u00e0 60 pour cent, et donc le temps et les co\u00fbts qui en d\u00e9coulent. Il en r\u00e9sulte une augmentation du d\u00e9bit tout en soutenant la production z\u00e9ro d\u00e9faut.<\/p>\n<p><em>Source : iTAC Software AG (<a href=\"http:\/\/www.itacsoftware.com\">www.itacsoftware.com<\/a>)<\/em><\/p>","protected":false},"excerpt":{"rendered":"<p>L'Artificial Intelligence of Things consiste \u00e0 collecter des donn\u00e9es provenant de machines et de capteurs \u00e0 l'aide d'un MES\/MOM, \u00e0 les analyser et \u00e0 les interpr\u00e9ter. Il est ainsi possible d'\u00e9tablir des pr\u00e9visions et de mettre en place des processus d'auto-apprentissage. Il existe plusieurs possibilit\u00e9s de mise en \u0153uvre. Intelligence artificielle des objets : symbiose de l'IA et de l'IoT \u201eGr\u00e2ce \u00e0 l'Internet des [...]<\/p>","protected":false},"author":10,"featured_media":17562,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[2],"tags":[3372,3845,3435,3327],"class_list":["post-17561","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-produktenews","tag-digitalisierung","tag-internet-of-things","tag-kuenstliche-intelligenz","tag-qualitaetsmanagement"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Wie die Fertigung vom Artificial Intelligence of Things profitiert - MQ Management und Qualit\u00e4t<\/title>\n<meta name=\"description\" content=\"Was passiert, wenn AI und IoT sich miteinander verbinden? 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