{"id":89217,"date":"2025-02-25T10:11:17","date_gmt":"2025-02-25T02:11:17","guid":{"rendered":"https:\/\/solomon-3d.mesvr.tw\/?p=89217"},"modified":"2025-02-25T10:12:26","modified_gmt":"2025-02-25T02:12:26","slug":"digitalisation-des-manometres-de-gaz-a-laide-de-lia","status":"publish","type":"post","link":"https:\/\/solomon-3d.mesvr.tw\/fr\/etudes-de-cas\/digitalisation-des-manometres-de-gaz-a-laide-de-lia\/","title":{"rendered":"Digitalisation des Manom\u00e8tres de Gaz \u00e0 l’Aide de l’IA"},"content":{"rendered":"
\n
<\/span>\"OCR
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SolVision\u00c9tude de cas<\/span><\/h2>\n\n\n\n
Opto\u00e9lectronique<\/a><\/div>\n<\/div><\/div>\n\n\n\n
<\/div>\n\n\n

Digitalisation des Manom\u00e8tres de Gaz \u00e0 l’Aide de l’IA<\/h1><\/div><\/div>\n\n\n\n
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Client<\/h2>\n\n\n\n

Le client est un fabricant d’opto\u00e9lectronique sp\u00e9cialis\u00e9 dans la production de polariseurs pour des affichages de haute pr\u00e9cision. Maintenir des niveaux de gaz constants pendant le processus de fabrication est crucial pour obtenir des couches de film uniformes. Le processus de production du client repose fortement sur le suivi en temps r\u00e9el des param\u00e8tres de compression des gaz, qui ont un impact direct sur la qualit\u00e9 et le rendement des produits.<\/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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Surveillance des manom\u00e8tres de gaz en opto\u00e9lectronique<\/h3>\n\n\n\n

Dans la ligne de production du client, des niveaux de gaz pr\u00e9cis sont surveill\u00e9s \u00e0 l’aide de manom\u00e8tres de gaz analogiques. Ces manom\u00e8tres affichent des informations critiques li\u00e9es \u00e0 la compression des gaz et \u00e0 d’autres param\u00e8tres environnementaux n\u00e9cessaires \u00e0 une fabrication de haute qualit\u00e9. Cependant, l’absence d’interfaces num\u00e9riques sur ces manom\u00e8tres traditionnels a emp\u00each\u00e9 le client de transf\u00e9rer rapidement les donn\u00e9es vers un syst\u00e8me de surveillance num\u00e9rique, ralentissant ainsi la prise de d\u00e9cision et r\u00e9duisant l’efficacit\u00e9 op\u00e9rationnelle.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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<\/div>\n\n\n\n
\"SolVision<\/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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Saisie manuelle des donn\u00e9es et temps de r\u00e9ponse lents<\/h3>\n\n\n\n

Le principal d\u00e9fi auquel le client \u00e9tait confront\u00e9 \u00e9tait le processus manuel de lecture et d’enregistrement des donn\u00e9es des manom\u00e8tres de gaz analogiques. Cette m\u00e9thode entra\u00eenait des retards dans le processus de surveillance et augmentait la probabilit\u00e9 d’erreurs humaines, rendant difficile une r\u00e9ponse rapide aux fluctuations des niveaux de gaz. L’absence de transfert de donn\u00e9es num\u00e9riques en temps r\u00e9el a \u00e9galement entrav\u00e9 la capacit\u00e9 du client \u00e0 optimiser ses processus de production et \u00e0 garantir les normes de qualit\u00e9 les plus \u00e9lev\u00e9es.<\/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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Digitalisation des Manom\u00e8tres de Gaz Aliment\u00e9e par IA avec SolVision<\/h3>\n\n\n\n

Pour relever ces d\u00e9fis, le client a mis en \u0153uvre SolVision<\/a>, un syst\u00e8me de vision aliment\u00e9 par IA. SolVision utilise la technologie de reconnaissance optique de caract\u00e8res (OCR)<\/a> pour convertir les lectures des manom\u00e8tres analogiques en donn\u00e9es num\u00e9riques lisibles. Le syst\u00e8me capture des images haute r\u00e9solution des manom\u00e8tres de gaz et traite les informations gr\u00e2ce \u00e0 l’OCR aliment\u00e9 par IA. Ces donn\u00e9es num\u00e9riques peuvent ensuite \u00eatre t\u00e9l\u00e9charg\u00e9es sur la plateforme de surveillance du client, permettant une analyse en temps r\u00e9el et une prise de d\u00e9cision plus efficace.<\/p>\n\n\n\n

<\/div>\n\n\n\n
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Gas Gauge Optical Character Recognition<\/h4>\n\n\n\n
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\"OCR<\/figure>\n<\/div>\n\n\n

\u00c9tape 1 :<\/strong> La cam\u00e9ra capture des images<\/strong><\/p>\n<\/div>\n\n\n\n

\n
\"OCR<\/figure>\n<\/div>\n\n\n

\u00c9tape 2 :<\/strong> L’OCR extrait les donn\u00e9es du manom\u00e8tre<\/strong><\/p>\n<\/div>\n\n\n\n

\n
\"OCR<\/figure>\n<\/div>\n\n\n

\u00c9tape 3 :<\/strong> Les donn\u00e9es sont converties au format num\u00e9rique<\/strong><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n <\/div><\/div>\n\n\n\n

\n
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R\u00e9sultat<\/h2>\n\n\n\n
\n
<\/path><\/svg>Efficacit\u00e9 am\u00e9lior\u00e9e<\/span><\/div>
<\/path><\/svg>Donn\u00e9es en temps r\u00e9el<\/span><\/div>
<\/path><\/svg>Pr\u00e9cision accrue<\/span><\/div><\/div>\n<\/div>\n<\/div>\n <\/div><\/div>","protected":false},"excerpt":{"rendered":"

SolVision permet la num\u00e9risation des manom\u00e8tres avec l’IA et la reconnaissance optique de caract\u00e8res (OCR), am\u00e9liorant l’efficacit\u00e9, la pr\u00e9cision et les temps de r\u00e9ponse dans les processus d’opt\u00e9lectronique et de surveillance des gaz.<\/p>","protected":false},"author":875,"featured_media":78241,"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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