{"id":90211,"date":"2025-03-03T15:17:12","date_gmt":"2025-03-03T07:17:12","guid":{"rendered":"https:\/\/solomon-3d.mesvr.tw\/?p=90211"},"modified":"2025-03-03T16:32:28","modified_gmt":"2025-03-03T08:32:28","slug":"energy-storage-system-setup-verification-using-ar-ai","status":"publish","type":"post","link":"https:\/\/solomon-3d.mesvr.tw\/fr\/etudes-de-cas\/energy-storage-system-setup-verification-using-ar-ai\/","title":{"rendered":"V\u00e9rification de la configuration du syst\u00e8me de stockage d’\u00e9nergie \u00e0 l’aide de la r\u00e9alit\u00e9 augment\u00e9e et de l’IA"},"content":{"rendered":"
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<\/span>\"An
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META-aivi\u00c9tude de cas<\/span><\/h2>\n\n\n\n
Energie et \u00e9nergies <\/a>r<\/a>enouvelables<\/a><\/div>\n<\/div><\/div>\n\n\n\n
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V\u00e9rification de la configuration du syst\u00e8me de stockage d’\u00e9nergie \u00e0 l’aide de la r\u00e9alit\u00e9 augment\u00e9e et de l’IA<\/h1><\/div><\/div>\n\n\n\n
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Client<\/h2>\n\n\n\n

Le client est Etica Battery Inc.<\/a>, un fabricant ta\u00efwanais de syst\u00e8mes de stockage d’\u00e9nergie (ESS), de batteries pour appareils portables et de batteries LEV (v\u00e9hicules \u00e9lectriques l\u00e9gers).<\/p>\n<\/div>\n<\/div>\n <\/div><\/div>\n\n\n\n

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Cas<\/h2>\n\n\n\n
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Inspection de la configuration du syst\u00e8me ESS<\/h3>\n\n\n\n

Les syst\u00e8mes de stockage d’\u00e9nergie sont g\u00e9n\u00e9ralement constitu\u00e9s de cellules de batterie, de modules et de syst\u00e8mes de conversion et de gestion de l’\u00e9nergie. Ils contribuent \u00e0 limiter les pics de consommation, \u00e0 int\u00e9grer les \u00e9nergies renouvelables, \u00e0 accro\u00eetre l’efficacit\u00e9 \u00e9nerg\u00e9tique, \u00e0 r\u00e9duire les co\u00fbts, \u00e0 diminuer les \u00e9missions de carbone et \u00e0 am\u00e9liorer les performances ESG (environnementales, sociales et de gouvernance).<\/p>\n<\/div>\n<\/div>\n\n\n\n

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\"An<\/div>\n<\/div>\n<\/div>\n <\/div><\/div>\n\n\n\n
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D\u00e9fi<\/h2>\n\n\n\n
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Limites de l\u2019inspection manuelle<\/h3>\n\n\n\n

La configuration actuelle du syst\u00e8me ESS implique principalement une v\u00e9rification manuelle \u00e0 l’aide de listes de contr\u00f4le papier pour d\u00e9tecter les pi\u00e8ces manquantes ou confirmer l’exactitude des boutons et des interrupteurs. Cependant, l’erreur humaine est in\u00e9vitable, ce qui n\u00e9cessite des \u00e9tapes administratives suppl\u00e9mentaires pour la v\u00e9rification, ce qui demande plus de travail et de ressources. La gestion d’un grand volume de listes de contr\u00f4le papier pr\u00e9sente des d\u00e9fis suppl\u00e9mentaires, et la saisie manuelle des donn\u00e9es peut entra\u00eener des erreurs d’enregistrement.<\/p>\n<\/div>\n<\/div>\n <\/div><\/div>\n\n\n\n

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Solution<\/h2>\n\n\n\n
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V\u00e9rification de la configuration optimis\u00e9e avec la validation SOP META-aivi<\/h3>\n\n\n\n

META-aivi<\/a>, aliment\u00e9 par l’IA d’apprentissage profond, g\u00e9n\u00e8re rapidement des mod\u00e8les de composants de configuration \u00e0 inspecter. \u00c0 l’aide de lunettes AR, les travailleurs peuvent effectuer des v\u00e9rifications en temps r\u00e9el pour garantir le bon c\u00e2blage, les commutateurs et les boutons pendant la configuration avec une facilit\u00e9 et une efficacit\u00e9 in\u00e9dites. La technologie AR de META-aivi guide les travailleurs tout au long des proc\u00e9dures de configuration correctes, \u00e9vitant ainsi les erreurs. Les r\u00e9sultats de l’inspection peuvent \u00eatre t\u00e9l\u00e9charg\u00e9s sur un serveur central, \u00e9tablissant un enregistrement num\u00e9rique de toutes les inspections pour une plus grande diligence.<\/p>\n\n\n\n

<\/div>\n\n\n<\/div>\n<\/div>\n <\/div><\/div>\n\n\n\n
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R\u00e9sultat<\/h2>\n\n\n\n
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<\/path><\/svg>Pr\u00e9cision de configuration accrue<\/span><\/div>
<\/path><\/svg>R\u00e9duction du temps d’inspection de configuration<\/span><\/div>
<\/path><\/svg>Suppression des erreurs d’enregistrement des donn\u00e9es<\/span><\/div><\/div>\n<\/div>\n<\/div>\n <\/div><\/div>\n\n\n\n

<\/p>","protected":false},"excerpt":{"rendered":"

META-aivi transforme la configuration et l’inspection des syst\u00e8mes de stockage d’\u00e9nergie, optimisant la pr\u00e9cision et l’efficacit\u00e9 avec la validation SOP en temps r\u00e9el \u00e0 l’aide de la technologie AR + AI.<\/p>","protected":false},"author":36,"featured_media":61839,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_gspb_post_css":"#gspb_heading-id-gsbp-5f6009ef-2b72{font-size:60px;line-height:100px;text-align:center!important;color:var(--gs-colorone);margin-top:50px}#gspb_heading-id-gsbp-5f6009ef-2b72 .gsap-g-line{text-align:center!important}#gspb_heading-id-gsbp-5f6009ef-2b72 .gspb_heading_subtitle,#gspb_subheading-id-gsbp-5f6009ef-2b72{display:block;line-height:22px;margin-top:5px;font-size:30px;color:var(--wp--preset--color--white, 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