{"id":89342,"date":"2025-02-25T15:16:18","date_gmt":"2025-02-25T07:16:18","guid":{"rendered":"https:\/\/solomon-3d.mesvr.tw\/?p=89342"},"modified":"2025-02-25T15:17:07","modified_gmt":"2025-02-25T07:17:07","slug":"detection-des-defauts-de-soudure-par-ia","status":"publish","type":"post","link":"https:\/\/solomon-3d.mesvr.tw\/fr\/etudes-de-cas\/detection-des-defauts-de-soudure-par-ia\/","title":{"rendered":"D\u00e9tection des d\u00e9fauts de soudure par IA"},"content":{"rendered":"
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SolVision\u00c9tude de cas<\/span><\/h2>\n\n\n\n
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Fabrication<\/a><\/span><\/p>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n\n

D\u00e9tection des d\u00e9fauts de soudure par IA<\/h1><\/div><\/div>\n\n\n\n

Contr\u00f4le de qualit\u00e9 de soudure pour les produits de climatisation et de r\u00e9frig\u00e9ration<\/strong><\/h2>\n\n\n\n
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Automatisation de l’inspection des cordons de soudure<\/h2>\n<\/div>\n\n\n\n
Lors de la fabrication de climatiseurs et de r\u00e9frig\u00e9rateurs, des composants qui constituent l’\u00e9changeur de chaleur, tels que les tubes, les plaques miroir et les collecteurs avant et arri\u00e8re, doivent \u00eatre soud\u00e9s. Pour v\u00e9rifier la qualit\u00e9 de la soudure de ces pi\u00e8ces, un processus d’inspection est n\u00e9cessaire.<\/div>\n<\/div>\n\n\n\n
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<\/div>\n<\/div>\n <\/div><\/div>\n\n\n\n
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D\u00e9fauts de soudure de forme irr\u00e9guli\u00e8re<\/strong><\/strong><\/h2>\n<\/div>\n\n\n\n
Les usines de soudage sont souvent des installations \u00e0 haute temp\u00e9rature, et les conditions de travail sont dangereuses. Les d\u00e9fauts de soudure ont \u00e9galement tendance \u00e0 \u00eatre complexes et irr\u00e9guliers, et par cons\u00e9quent, l’inspection manuelle peut ne pas \u00eatre la meilleure solution pour maximiser le rendement ou assurer une production constante.\u00a0<\/div>\n<\/div>\n <\/div><\/div>\n\n\n\n
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D\u00e9tection des d\u00e9fauts par IA avec SolVision<\/strong><\/strong><\/strong><\/strong><\/h2>\n<\/div>\n\n\n\n
Propuls\u00e9 par l’IA, SolVision<\/a> peut automatiser les processus d’inspection de soudure en apprenant les diff\u00e9rentes formes et caract\u00e9ristiques des cordons de soudure \u00e0 partir d’images d’\u00e9chantillons, puis en formant l’IA \u00e0 d\u00e9tecter rapidement si un cordon est d\u00e9fectueux en fonction de ses caract\u00e9ristiques, par exemple s’il est trop fin, trop \u00e9pais ou manquant. En reconnaissant les cordons d\u00e9fectueux, cela contr\u00f4le efficacement la qualit\u00e9 du processus de soudure.<\/div>\n<\/div>\n <\/div><\/div>\n\n\n\n
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Exemple<\/strong><\/h2>\n<\/div>\n\n\n\n
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Cordon de soudure complet<\/strong><\/p>\n\n\n

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\"Welding<\/figure>\n<\/div><\/div>\n<\/div>\n\n\n\n
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Cordon de soudure manquant<\/strong><\/p>\n<\/div>\n\n\n

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\"Welding<\/figure>\n<\/div><\/div>\n\n\n\n
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Soudure incompl\u00e8te<\/strong><\/p>\n<\/div>\n\n\n

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\"Welding<\/figure>\n<\/div><\/div>\n <\/div><\/div>\n<\/div>\n <\/div><\/div>","protected":false},"excerpt":{"rendered":"

Propuls\u00e9 par l’IA, Solomon SolVision peut automatiser les processus d’inspection des soudures en apprenant les diff\u00e9rentes formes et caract\u00e9ristiques des cordons de soudure \u00e0 partir d’images d’\u00e9chantillons.<\/p>","protected":false},"author":875,"featured_media":56373,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_gspb_post_css":"#gspb_heading-id-gsbp-d51e703b-ff95{font-size:60px;line-height:100px;text-align:center!important;color:var(--gs-colorone);margin-top:15px;margin-bottom:15px}#gspb_heading-id-gsbp-d51e703b-ff95 .gsap-g-line{text-align:center!important}#gspb_heading-id-gsbp-d51e703b-ff95 .gspb_heading_subtitle,#gspb_subheading-id-gsbp-d51e703b-ff95{display:block;line-height:22px;margin-top:5px;font-size:30px;color:var(--wp--preset--color--white, 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