{"id":88052,"date":"2025-02-19T16:21:59","date_gmt":"2025-02-19T08:21:59","guid":{"rendered":"https:\/\/solomon-3d.mesvr.tw\/?p=88052"},"modified":"2025-02-19T16:23:14","modified_gmt":"2025-02-19T08:23:14","slug":"gasdruckdigitalisierung-mit-ki","status":"publish","type":"post","link":"https:\/\/solomon-3d.mesvr.tw\/de\/referenzen\/gasdruckdigitalisierung-mit-ki\/","title":{"rendered":"Gasdruckdigitalisierung mit KI"},"content":{"rendered":"
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<\/span>\"OCR
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SolVisionFallstudie<\/span><\/h2>\n\n\n\n
Optoelektronik<\/a><\/div>\n<\/div><\/div>\n\n\n\n
<\/div>\n\n\n

Gasdruckdigitalisierung mit KI<\/h1><\/div><\/div>\n\n\n\n
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Kunde<\/h2>\n\n\n\n

Der Kunde ist ein Hersteller von Optoelektronik, der sich auf die Produktion von Polarisatoren f\u00fcr hochpr\u00e4zise Displays spezialisiert hat. Die Aufrechterhaltung konstanter Gasniveaus w\u00e4hrend des Herstellungsprozesses ist entscheidend f\u00fcr die Erreichung homogener Filmschichten. Der Produktionsprozess des Kunden ist stark von der Echtzeit\u00fcberwachung der Gasdruckparameter abh\u00e4ngig, die sich direkt auf die Produktqualit\u00e4t und den Ertrag auswirken.<\/p>\n<\/div>\n<\/div>\n <\/div><\/div>\n\n\n\n

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Fall<\/h2>\n\n\n\n
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Gasdruck\u00fcberwachung in der Optoelektronik<\/h3>\n\n\n\n

In der Produktionslinie des Kunden werden pr\u00e4zise Gasniveaus mit analogen Druckmessger\u00e4ten \u00fcberwacht. Diese Ger\u00e4te zeigen wichtige Informationen zu Gasdruck und anderen Umweltparametern an, die f\u00fcr eine qualitativ hochwertige Fertigung erforderlich sind. Allerdings verhinderte das Fehlen digitaler Schnittstellen an diesen herk\u00f6mmlichen Messger\u00e4ten, dass der Kunde die Daten schnell in ein digitales \u00dcberwachungssystem \u00fcbertragen konnte, was die Entscheidungsfindung verlangsamte und die Betriebseffizienz verringerte.<\/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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Herausforderung<\/h2>\n\n\n\n
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Manuelle Dateneingabe und langsame Reaktionszeiten<\/h3>\n\n\n\n

Die Haupt Herausforderung, vor der der Kunde stand, war der manuelle Prozess des Ablesens und Aufzeichnens von Daten von analogen Gasmanometern. Diese Methode f\u00fchrte zu Verz\u00f6gerungen im \u00dcberwachungsprozess und erh\u00f6hte die Wahrscheinlichkeit menschlicher Fehler, was es schwierig machte, schnell auf Schwankungen der Gasniveaus zu reagieren. Das Fehlen einer digitalen Daten\u00fcbertragung in Echtzeit hinderte den Kunden au\u00dferdem daran, Produktionsprozesse zu optimieren und die h\u00f6chsten Qualit\u00e4tsstandards zu gew\u00e4hrleisten.<\/p>\n<\/div>\n<\/div>\n <\/div><\/div>\n\n\n\n

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L\u00f6sung<\/h2>\n\n\n\n
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AI-gest\u00fctzte Digitalisierung von Gasdruckmessger\u00e4ten mit SolVision<\/h3>\n\n\n\n

Um diese Herausforderungen zu bew\u00e4ltigen, implementierte der Kunde SolVision<\/a>, ein KI-gest\u00fctztes Vision-System. SolVision nutzt die Optische Zeichenerkennung (OCR)<\/a> Technologie, um die Analogmesswerte in lesbare digitale Daten umzuwandeln. Das System erfasst hochaufl\u00f6sende Bilder der Gasmanometer und verarbeitet die Informationen mithilfe von KI-gest\u00fctztem OCR. Diese digitalen Daten k\u00f6nnen dann in die \u00dcberwachungsplattform des Kunden hochgeladen werden, was eine Echtzeitanalyse und effizientere Entscheidungsfindung erm\u00f6glicht.<\/p>\n\n\n\n

<\/div>\n\n\n\n
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Optische Zeichenerkennung (OCR) f\u00fcr Gasdruckanzeigen<\/h4>\n\n\n\n
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\"OCR<\/figure>\n<\/div>\n\n\n

Schritt 1: Kamera erfasst Bilder<\/strong><\/p>\n<\/div>\n\n\n\n

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

Schritt 2: OCR extrahiert Messdaten<\/strong><\/p>\n<\/div>\n\n\n\n

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

Schritt 3: Daten werden in digitales Format umgewandelt<\/strong><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n <\/div><\/div>\n\n\n\n

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Ergebnis<\/h2>\n\n\n\n
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<\/path><\/svg>Verbesserte Effizienz<\/span><\/div>
<\/path><\/svg>Echtzeitdaten<\/span><\/div>
<\/path><\/svg>Verbesserte Genauigkeit<\/span><\/div><\/div>\n<\/div>\n<\/div>\n <\/div><\/div>\n\n\n\n

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

SolVision erm\u00f6glicht die Digitalisierung von Gasanzeigen mit KI und OCR, verbessert die Effizienz, Genauigkeit und Reaktionszeiten in der Optoelektronik und bei Gas\u00fcberwachungsprozessen.<\/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, #ffffff)}.gspb_text-id-gsbp-fa6ec577-bc74{font-size:20px;text-align:center!important;font-weight:500!important;margin-bottom:0!important}.gspb_text-id-gsbp-fa6ec577-bc74 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