{"id":494104,"date":"2026-04-29T10:00:35","date_gmt":"2026-04-29T08:00:35","guid":{"rendered":"https:\/\/www.ecinews.fr\/?p=494104"},"modified":"2026-04-28T16:15:57","modified_gmt":"2026-04-28T14:15:57","slug":"un-systeme-de-vision-3d-au-service-de-la-fabrication-de-cabines-aeronautiques","status":"publish","type":"post","link":"https:\/\/www.ecinews.fr\/fr\/un-systeme-de-vision-3d-au-service-de-la-fabrication-de-cabines-aeronautiques\/","title":{"rendered":"Un syst\u00e8me de vision 3D au service de la fabrication de cabines a\u00e9ronautiques"},"content":{"rendered":"<p>Dans la production a\u00e9ronautique, la pr\u00e9cision n\u2019est pas n\u00e9gociable. Chaque point de per\u00e7age doit \u00eatre positionn\u00e9 avec une exactitude extr\u00eame afin de garantir la s\u00e9curit\u00e9, la qualit\u00e9 et la r\u00e9p\u00e9tabilit\u00e9 des assemblages. Dans le cadre du projet DiCADeMA (Digital Cabin Architectures and Design for Manufacturing) men\u00e9 par l\u2019Agence spatiale allemande (DLR), un processus de fabrication enti\u00e8rement num\u00e9ris\u00e9, automatis\u00e9 et interconnect\u00e9 a \u00e9t\u00e9 d\u00e9velopp\u00e9. Au c\u0153ur de cette approche, la cam\u00e9ra 3D Ensenso d\u2019IDS Imaging Development Systems joue un r\u00f4le cl\u00e9 dans la d\u00e9tection et l\u2019alignement ultrapr\u00e9cis des positions de per\u00e7age lors de la fabrication de cabines d\u2019avion.<\/p>\n<p>Ce projet d\u00e9montre comment la vision 3D industrielle permet de franchir une nouvelle \u00e9tape dans l\u2019automatisation des processus a\u00e9ronautiques.<\/p>\n<h4>Une cha\u00eene num\u00e9rique continue de la conception \u00e0 la production<\/h4>\n<p>L\u2019objectif principal du projet DiCADeMA est d\u2019assurer une continuit\u00e9 num\u00e9rique totale entre la phase de conception et la fabrication. Toute modification de la configuration cabine, comme l\u2019espacement des si\u00e8ges ou le repositionnement des compartiments \u00e0 bagages, est directement int\u00e9gr\u00e9e dans les donn\u00e9es de conception num\u00e9riques. Ces changements sont ensuite automatiquement pris en compte dans la planification de la production.<\/p>\n<p>Gr\u00e2ce aux outils de simulation, les variantes peuvent \u00eatre valid\u00e9es virtuellement avant toute fabrication physique. Une fois la validation num\u00e9rique achev\u00e9e, la production peut d\u00e9marrer imm\u00e9diatement, sans phase de reprise manuelle.<\/p>\n<h4>Robotique mobile et vision 3D en interaction<\/h4>\n<p>Pour rendre cette cha\u00eene num\u00e9rique op\u00e9rationnelle, un syst\u00e8me automatis\u00e9 de marquage des positions de per\u00e7age a \u00e9t\u00e9 mis en \u0153uvre sur une maquette de ch\u00e2ssis d\u2019avion. Un robot mobile autonome (AMR) se d\u00e9place jusqu\u2019\u00e0 la zone cible et se positionne avec une pr\u00e9cision d\u2019environ cinq millim\u00e8tres, suffisante pour garantir une prise de vue s\u00fbre sans risque de collision.<\/p>\n<p>Un robot l\u00e9ger embarqu\u00e9 positionne ensuite l\u2019unit\u00e9 de marquage et la cam\u00e9ra 3D dans la position optimale. L\u2019ensemble du processus est orchestr\u00e9 par un syst\u00e8me d\u2019ex\u00e9cution de la fabrication (MES), qui coordonne les diff\u00e9rents sous\u2011syst\u00e8mes.<\/p>\n<h4>Le r\u00f4le central de la cam\u00e9ra Ensenso<\/h4>\n<p>La cam\u00e9ra Ensenso N36 capture l\u2019environnement sous forme de nuage de points tridimensionnel, qu\u2019elle compare aux donn\u00e9es CAO du ch\u00e2ssis. Cette comparaison permet de d\u00e9tecter les moindres \u00e9carts entre la g\u00e9om\u00e9trie th\u00e9orique et la structure r\u00e9elle. \u00c0 partir de ces donn\u00e9es, des valeurs de correction sont calcul\u00e9es et transmises au MES via une interface OPC\u202fUA standardis\u00e9e, garantissant un \u00e9change de donn\u00e9es s\u00e9curis\u00e9 et fluide.<\/p>\n<p>Gr\u00e2ce \u00e0 un \u00e9talonnage \u0153il\u2011main et \u00e0 un algorithme de minimisation it\u00e9ratif, le syst\u00e8me g\u00e9n\u00e8re une matrice de transformation d\u00e9crivant pr\u00e9cis\u00e9ment la correction \u00e0 appliquer. La position de per\u00e7age est ainsi ajust\u00e9e avec une tr\u00e8s grande pr\u00e9cision avant le marquage.<\/p>\n<p>Un op\u00e9rateur suit le robot et r\u00e9alise le per\u00e7age imm\u00e9diatement apr\u00e8s le marquage, dans un environnement collaboratif s\u00fbr, o\u00f9 l\u2019humain et le robot travaillent \u00e0 proximit\u00e9 imm\u00e9diate.<\/p>\n<h4>Une cam\u00e9ra adapt\u00e9e aux contraintes a\u00e9ronautiques<\/h4>\n<p>Pour cette application, une cam\u00e9ra compacte \u00e0 courte distance focale est indispensable afin de minimiser l\u2019\u00e9cart entre la prise de vue et la position de per\u00e7age. La Ensenso N36 r\u00e9pond \u00e0 ces contraintes gr\u00e2ce \u00e0 sa conception compacte et robuste, adapt\u00e9e aux environnements industriels difficiles.<\/p>\n<p>Le projecteur int\u00e9gr\u00e9 assure une texture suffisante m\u00eame en conditions d\u2019\u00e9clairage d\u00e9favorables, en projetant un motif al\u00e9atoire de points qui enrichit les surfaces peu contrast\u00e9es. Pr\u00e9calibr\u00e9e en usine, la cam\u00e9ra peut \u00eatre int\u00e9gr\u00e9e rapidement, aussi bien sur des syst\u00e8mes fixes que sur des bras robotis\u00e9s.<\/p>\n<h4>Gains mesurables pour la production<\/h4>\n<p>Cette approche num\u00e9rique apporte des b\u00e9n\u00e9fices concrets. La pr\u00e9cision et la r\u00e9p\u00e9tabilit\u00e9 sont accrues, tandis que la tra\u00e7abilit\u00e9 des op\u00e9rations est assur\u00e9e par la collecte continue des donn\u00e9es. Les \u00e9quipes de montage sont soulag\u00e9es des t\u00e2ches de mesure manuelle, longues et r\u00e9p\u00e9titives, et peuvent se concentrer sur l\u2019assemblage proprement dit. Les temps de production sont \u00e9galement r\u00e9duits, puisqu\u2019aucun r\u00e9ajustement manuel n\u2019est n\u00e9cessaire.<\/p>\n<p><em>Pour les acteurs de l\u2019a\u00e9ronautique et de l\u2019industrie avanc\u00e9e, ce projet illustre comment la combinaison de la vision 3D, de la robotique mobile et de la cha\u00eene num\u00e9rique permet d\u2019atteindre des niveaux de pr\u00e9cision et d\u2019efficacit\u00e9 difficilement accessibles avec des m\u00e9thodes conventionnelles. Il ouvre la voie \u00e0 des processus plus flexibles, plus rapides et plus fiables, applicables bien au\u2011del\u00e0 du secteur a\u00e9ronautique.<\/em><\/p>\n<p>Vid\u00e9o du projet : <a href=\"https:\/\/www.youtube.com\/watch?v=rtJUdiuvUOU\">https:\/\/www.youtube.com\/watch?v=rtJUdiuvUOU<\/a><\/p>\n<p><a href=\"https:\/\/www.ids-imaging.com\/\">IDS Imaging Development Systems GmbH<\/a> | <a href=\"https:\/\/www.dlr.de\/\">Agence Spatiale Allemande (DLR)<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Dans la production a\u00e9ronautique, la pr\u00e9cision n\u2019est pas n\u00e9gociable. Chaque point de per\u00e7age doit \u00eatre positionn\u00e9 avec une exactitude extr\u00eame afin de garantir la s\u00e9curit\u00e9, la qualit\u00e9 et la r\u00e9p\u00e9tabilit\u00e9 des assemblages. Dans le cadre du projet DiCADeMA (Digital Cabin Architectures and Design for Manufacturing) men\u00e9 par l\u2019Agence spatiale allemande (DLR), un processus de fabrication [&hellip;]<\/p>\n","protected":false},"author":39,"featured_media":494101,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[883],"tags":[2334,7181,5773,8577],"domains":[47],"ppma_author":[6113],"class_list":["post-494104","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technologies","tag-aeronautique","tag-automatisation-industrielle","tag-jumeaux-numeriques","tag-vision-3d","domains-electronique-eci"],"acf":[],"yoast_head":"<title>Un syst\u00e8me de vision 3D au service de la fabrication de cabine...<\/title>\n<meta name=\"description\" content=\"ans la production a\u00e9ronautique, la pr\u00e9cision n\u2019est pas n\u00e9gociable. 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