{"id":4472,"date":"2024-05-23T14:57:50","date_gmt":"2024-05-23T06:57:50","guid":{"rendered":"http:\/\/en.siasun.com\/?p=4472"},"modified":"2024-05-31T14:55:13","modified_gmt":"2024-05-31T06:55:13","slug":"intelligent-inspection-workstation","status":"publish","type":"post","link":"https:\/\/en.siasun.com\/de\/intelligent-inspection-workstation.html","title":{"rendered":"Intelligenter Inspektionsarbeitsplatz"},"content":{"rendered":"
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Branchen<\/h2>\n\n\n\n

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Einf\u00fchrung<\/a><\/a><\/div>
Kunden-PainPoints<\/a><\/a><\/div>
Bene\ufb01ts<\/a><\/a><\/div><\/div><\/div><\/div>\n\n\n\n
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Einf\u00fchrung<\/strong><\/h2>\n\n\n\n

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Intelligenter Inspektionsarbeitsplatz<\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/h2>\n<\/div>\n<\/div>\n\n\n\n
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Die traditionelle Messmethode besteht darin, verschiedene Spezifikationen der Lehre und der Koordinatenmessung f\u00fcr die Produktpr\u00fcfung zu verwenden. Sie kann nur die relevanten Informationen \u00fcber die Konturabmessungen pr\u00fcfen und kann nicht schnell auf bestimmte Form- und Lagetoleranzen reagieren und die Daten nicht quantifizieren. Manuelle Inspektionsmethoden sind nicht in der Lage, die technischen Anforderungen des Produkts und des Produktionszyklus zu erf\u00fcllen. Mit der Popularit\u00e4t und Anwendung der automatisierten dreidimensionalen Inspektion in gro\u00dfen industriellen Fertigungsunternehmen, die Zukunft der automatisierten dreidimensionalen Inspektion System wird dazu beitragen, \u201cautomatisierte dreidimensionale Inspektion Linie\u201d und \u201cautomatisierte dreidimensionale Inspektion Werkstatt\u201d Bau. Durch die nahtlose Verbindung zwischen dem 3D-Roboter-Inspektionssystem und der Montagelinie wird die unbemannte, hocheffiziente intelligente Inspektion in gro\u00dfem Ma\u00dfstab wirklich realisiert und bietet neue M\u00f6glichkeiten f\u00fcr Chinas intelligente Fertigung.<\/p>\n\n\n\n

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\"Intelligenter<\/div>
\"Intelligenter<\/div><\/div><\/i><\/a><\/i><\/a>
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Schmerzpunkte der Kunden<\/strong><\/strong><\/h2>\n<\/div>\n<\/div>\n\n\n\n
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Der Erkennungsprozess ist subjektiv und dynamisch, die Testergebnisse h\u00e4ngen haupts\u00e4chlich von der subjektiven Bewertung des Inspektors ab. Dies wird dazu f\u00fchren, dass verschiedene Inspektoren unterschiedliche Erkennungsergebnisse erhalten k\u00f6nnen, leicht zur Erkennung von Fehleinsch\u00e4tzungen f\u00fchren, und die Erkennungseffizienz ist gering;Komplexe Oberfl\u00e4che Erkennungsgenauigkeit kann nicht beurteilt werden, keine spezifischen quantitativen Testdaten als Grundlage f\u00fcr die Beurteilung der Genauigkeit der Erkennung; manchmal m\u00fcssen die entsprechenden Inspektionswerkzeuge zu produzieren und zu verarbeiten, die Verl\u00e4ngerung des Herstellungszyklus, und weniger flexibel, Erh\u00f6hung der Produktionskosten.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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L\u00f6sung<\/strong><\/strong><\/h2>\n<\/div>\n<\/div>\n\n\n\n
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Durch den Einsatz von kollaborativen DUCO-Roboter-Automationsanlagen, die mit 3D-Laserscannern und Messger\u00e4ten ausgestattet sind, wird das zu pr\u00fcfende Werkst\u00fcck in 3D gemessen, um dreidimensionale Daten auf der Oberfl\u00e4che des Werkst\u00fccks zu erhalten. Durch den Datenverarbeitungsprozess wird das Messmodell mit dem Konstruktionsmodell abgeglichen, die Schl\u00fcsseldaten der tats\u00e4chlichen Merkmale der Messung werden extrahiert und mit dem theoretischen Modell verglichen, die Inspektion des Werkst\u00fccks mit bestimmten Abmessungen oder Fehlern wird analysiert. Auf diese Weise kann die Chargen- und automatische Pr\u00fcfung von Werkst\u00fccken in der Produktion durchgef\u00fchrt werden, wodurch die Effizienz der Pr\u00fcfung verbessert wird. Dar\u00fcber hinaus k\u00f6nnen die DUCO-Kooperationsroboter mit einem intelligenten Drehtischmechanismus ausgestattet werden, der eine automatische Drehung und die Unterst\u00fctzung flexibler Werkzeuge sowie eine umfassende Erfassung von 3D-Oberfl\u00e4chendaten erm\u00f6glicht.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Anwendungsbereiche<\/strong><\/strong><\/strong><\/h2>\n<\/div>\n<\/div>\n\n\n\n
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Die Workstation kann in der Automobilindustrie, im Werkzeug- und Maschinenbau, bei Halbleiterkomponenten, Kunststoffen, in der Luft- und Raumfahrt, in der Arch\u00e4ologie und in anderen wichtigen Bereichen eingesetzt werden.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Vorteile<\/strong><\/h2>\n<\/div>\n<\/div>\n\n\n\n
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  1. Hohe Inspektionsleistung: Die vollautomatische Chargeninspektion wurde um mehr als das 5-fache gesteigert;<\/li>\n\n\n\n
  2. Scan-Genauigkeit, um die Anforderungen zu erf\u00fcllen: Scan-Genauigkeit kann 0,025MM erreichen;<\/li>\n\n\n\n
  3. schnelle Messgeschwindigkeit: 1,3 Millionen Mal \/ Sekunde effiziente Datenerfassung;<\/li>\n\n\n\n
  4. Unterst\u00fctzung f\u00fcr die Demonstration und Offline-Programmierung, Sicherheitsnetz verlassen sich auf, einfach, die Maschine gro\u00dfe Bewegung Trajektorie bereitzustellen;<\/li>\n\n\n\n
  5. hohes Ma\u00df an Intelligenz: durch einen Schl\u00fcssel zu starten, kann automatisiert werden, intelligente und schnelle Sammlung von Spritzgussteilen Full-Size-Daten;<\/li>\n\n\n\n
  6. Automatisches Scannen, eficient Verarbeitung: automatisierte inteIIigent Inspektionssystem automatisch scannen Daten f\u00fcr die Beseitigung von Rauschen, Koordinatenausrichtung und Splei\u00dfen Fusion Verarbeitung. Bildung von vollst\u00e4ndigen dreidimensionalen Daten. Durch die Analyse der Batch-Test-Fehler-Daten-Bericht kann die Verarbeitung Prozess M\u00e4ngel zu verstehen, um rechtzeitige \u00c4nderungen und Optimierung des Produktionsprozesses zu machen, um die Produkt-QuaIiication Rate zu verbessern.<\/li>\n<\/ol>\n<\/div>\n<\/div>\n\n\n\n

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Overcome manual measurement pain points, achieve 0.025mm accuracy, and boost efficiency by 5x for automotive, aerospace, and more."],"_geo_ai_search_text":["Intelligent Inspection Workstation\nDUCO collaborative robots with 3D laser scanning automate inspection, boosting efficiency 5x, accuracy to 0.025mm, and enabling batch, intelligent quality control across industries.\nThe article introduces the Intelligent Inspection Workstation, which replaces traditional manual and gage-based measurement methods that are subjective, slow, and unable to quantify complex tolerances. Customer pain points include inconsistent inspection results, inability to judge complex surface accuracy, and high costs from custom tooling. The solution uses DUCO collaborative robots equipped with 3D laser scanning to capture full surface data, align it with design models, and extract key measurements for batch inspection. It can also integrate rotary tables and flexible tooling for comprehensive data acquisition. Applications span automotive, mold, machinery, semiconductors, plastics, aerospace, and archaeology. Key benefits include over 5x efficiency improvement, scanning accuracy of 0.025mm, fast data acquisition at 1.3 million points\/second, offline programming support, easy deployment, one-click automation, and automatic data processing (noise removal, alignment, merging) to generate complete 3D data and error reports for process optimization.\nAutomated inspection replaces subjective manual methods, eliminating misjudgment. 3D laser scanning captures complex surface data with 0.025mm accuracy. Batch inspection efficiency increases by more than 5 times. Data acquisition speed reaches 1.3 million points per second. Supports offline programming and easy deployment without safety net. One-click start enables full automation for injection molding parts. Automated data processing includes noise removal, coordinate alignment, and splicing. Error data reports help optimize production processes and improve yield. Applicable to automotive, mold, machinery, semiconductors, plastics, aerospace, etc.\nWhat are the main limitations of traditional manual inspection methods?\nTraditional manual inspection relies on subjective evaluation, leading to inconsistent results and misjudgment. It cannot accurately measure complex surface tolerances, lacks quantitative data, often requires custom tooling that extends manufacturing cycles, and has low efficiency.\nHow does the DUCO Intelligent Inspection Workstation improve inspection accuracy?\nThe workstation uses a collaborative robot equipped with a 3D laser scanner to capture high-precision surface data of the workpiece. The scanning accuracy reaches 0.025mm, and the system aligns the measured data with the design model to extract key characteristics, enabling precise quantification of dimensions and defects.\nWhat industries can benefit from this intelligent inspection solution?\nThe workstation is widely applicable in automotive, mold, machinery, semiconductor components, plastics, aerospace, archaeology, and other important fields that require high-precision, batch inspection of workpieces.\nCan the system handle batch inspection automatically?\nYes, the system is designed for fully automated batch inspection. It can be started with one click, automatically scan and process data for multiple workpieces, and generate error reports, improving inspection efficiency by more than 5 times compared to manual methods.\nManufacturing quality engineers, production managers, automation integrators, and industrial buyers in automotive, aerospace, mold, plastics, and semiconductor industries seeking to replace manual inspection with automated, high-precision 3D measurement solutions."]},"medium_url":"https:\/\/en.siasun.com\/wp-content\/uploads\/2024\/05\/1-19-300x180.png","thumbnail_url":"https:\/\/en.siasun.com\/wp-content\/uploads\/2024\/05\/1-19-150x150.png","full_url":"https:\/\/en.siasun.com\/wp-content\/uploads\/2024\/05\/1-19.png","_links":{"self":[{"href":"https:\/\/en.siasun.com\/de\/wp-json\/wp\/v2\/posts\/4472","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/en.siasun.com\/de\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/en.siasun.com\/de\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/en.siasun.com\/de\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/en.siasun.com\/de\/wp-json\/wp\/v2\/comments?post=4472"}],"version-history":[{"count":5,"href":"https:\/\/en.siasun.com\/de\/wp-json\/wp\/v2\/posts\/4472\/revisions"}],"predecessor-version":[{"id":6121,"href":"https:\/\/en.siasun.com\/de\/wp-json\/wp\/v2\/posts\/4472\/revisions\/6121"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/en.siasun.com\/de\/wp-json\/wp\/v2\/media\/4475"}],"wp:attachment":[{"href":"https:\/\/en.siasun.com\/de\/wp-json\/wp\/v2\/media?parent=4472"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/en.siasun.com\/de\/wp-json\/wp\/v2\/categories?post=4472"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/en.siasun.com\/de\/wp-json\/wp\/v2\/tags?post=4472"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}