{"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\/es\/intelligent-inspection-workstation.html","title":{"rendered":"Estaci\u00f3n de trabajo de inspecci\u00f3n inteligente"},"content":{"rendered":"
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Introducci\u00f3n<\/a><\/a><\/div>
Puntos d\u00e9biles de los clientes<\/a><\/a><\/div>
Beneficios<\/a><\/a><\/div><\/div><\/div><\/div>\n\n\n\n
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Introducci\u00f3n<\/strong><\/h2>\n\n\n\n

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Estaci\u00f3n de trabajo de inspecci\u00f3n inteligente<\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/h2>\n<\/div>\n<\/div>\n\n\n\n
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El m\u00e9todo de medici\u00f3n tradicional consiste en utilizar diferentes especificaciones del calibre y la medici\u00f3n por coordenadas para la inspecci\u00f3n del producto. S\u00f3lo puede inspeccionar la informaci\u00f3n relevante de la dimensi\u00f3n del contorno, y no puede responder r\u00e1pidamente a algunas inspecciones de tolerancia de forma y posici\u00f3n, y no puede cuantificar los datos. Los m\u00e9todos de inspecci\u00f3n manual no han podido satisfacer los requisitos t\u00e9cnicos del producto y del ciclo de producci\u00f3n. Con la popularidad y aplicaci\u00f3n de la inspecci\u00f3n tridimensional automatizada en las grandes empresas de fabricaci\u00f3n industrial, el futuro del sistema de inspecci\u00f3n tridimensional automatizado ayudar\u00e1 a la construcci\u00f3n de la \u201cl\u00ednea de inspecci\u00f3n tridimensional automatizada\u201d y el \u201ctaller de inspecci\u00f3n tridimensional automatizado\u201d. A trav\u00e9s de la conexi\u00f3n sin fisuras entre el sistema de inspecci\u00f3n tridimensional robotizado y la l\u00ednea de montaje, la inspecci\u00f3n inteligente no tripulada a gran escala y de alta eficiencia se hace realmente realidad, proporcionando nuevas posibilidades para la fabricaci\u00f3n inteligente de China.<\/p>\n\n\n\n

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\"Estaci\u00f3n<\/div>
\"Estaci\u00f3n<\/div><\/div><\/i><\/a><\/i><\/a>
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Puntos d\u00e9biles del cliente<\/strong><\/strong><\/h2>\n<\/div>\n<\/div>\n\n\n\n
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El proceso de detecci\u00f3n es subjetiva y din\u00e1mica, los resultados de las pruebas dependen principalmente de la evaluaci\u00f3n subjetiva del inspector. Esto dar\u00e1 lugar a diferentes inspectores pueden obtener diferentes resultados de detecci\u00f3n, f\u00e1cil de causar la detecci\u00f3n de juicio err\u00f3neo, y la eficiencia de detecci\u00f3n es baja;precisi\u00f3n de la detecci\u00f3n de superficies complejas no puede ser juzgado, no hay datos cuantitativos espec\u00edficos de prueba como base para juzgar la exactitud de la detecci\u00f3n; a veces es necesario para producir y procesar las herramientas de inspecci\u00f3n correspondiente, la ampliaci\u00f3n del ciclo de fabricaci\u00f3n, y menos flexible, el aumento de los costes de producci\u00f3n.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Soluci\u00f3n<\/strong><\/strong><\/h2>\n<\/div>\n<\/div>\n\n\n\n
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Utilizando equipos de automatizaci\u00f3n rob\u00f3tica colaborativa DUCO equipados con equipos de medici\u00f3n y escaneo l\u00e1ser 3D, la pieza de trabajo a inspeccionar para la medici\u00f3n 3D, obteniendo datos tridimensionales sobre la superficie de la pieza de trabajo, a trav\u00e9s del proceso de procesamiento de datos para obtener el modelo de medici\u00f3n alineado con el modelo de dise\u00f1o, extrayendo los datos clave de las caracter\u00edsticas reales de la medici\u00f3n y compar\u00e1ndolos con el modelo te\u00f3rico, analizando la inspecci\u00f3n de la pieza de trabajo con dimensiones o defectos espec\u00edficos. De este modo, se puede completar la inspecci\u00f3n por lotes y automatizada de piezas de trabajo de producci\u00f3n, mejorando as\u00ed la eficiencia de la inspecci\u00f3n. Adem\u00e1s, los robots DUCO coIIaborative tambi\u00e9n pueden equiparse con un mecanismo de mesa giratoria inteligente, rotaci\u00f3n automatizada y soporte de herramientas flexibles, adquisici\u00f3n integral de datos 3D de superficie.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Campos de aplicaci\u00f3n<\/strong><\/strong><\/strong><\/h2>\n<\/div>\n<\/div>\n\n\n\n
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La estaci\u00f3n de trabajo puede utilizarse ampliamente en los sectores de automoci\u00f3n, moldes, maquinaria, componentes de semiconductores, pl\u00e1sticos, aeroespacial, arqueolog\u00eda y otros \u00e1mbitos importantes.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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beneficios<\/strong><\/h2>\n<\/div>\n<\/div>\n\n\n\n
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  1. Alta eficacia de inspecci\u00f3n: la eficacia de inspecci\u00f3n por lotes totalmente autom\u00e1tica se ha multiplicado por m\u00e1s de 5;<\/li>\n\n\n\n
  2. Precisi\u00f3n de escaneado para cumplir los requisitos: la precisi\u00f3n de escaneado puede alcanzar los 0,025MM;<\/li>\n\n\n\n
  3. R\u00e1pida velocidad de medici\u00f3n: 1,3 millones de veces \/ segundo Eficaz adquisici\u00f3n de datos;<\/li>\n\n\n\n
  4. apoyo a la demostraci\u00f3n y la programaci\u00f3n fuera de l\u00ednea, red de seguridad se basan en, f\u00e1cil de desplegar la m\u00e1quina gran trayectoria de movimiento;<\/li>\n\n\n\n
  5. alto grado de inteligencia: a trav\u00e9s de una tecla para iniciar puede ser automatizado, inteligente y r\u00e1pida recopilaci\u00f3n de piezas de moldeo por inyecci\u00f3n de tama\u00f1o completo de datos;<\/li>\n\n\n\n
  6. Escaneado autom\u00e1tico, procesamiento eficiente: el sistema de inspecci\u00f3n inteIIigente automatizado escanea autom\u00e1ticamente los datos para la eliminaci\u00f3n de ruido, la alineaci\u00f3n de coordenadas y el procesamiento de fusi\u00f3n de empalme. Formaci\u00f3n de datos tridimensionales completos. A trav\u00e9s del an\u00e1lisis del informe de datos de error de prueba de lotes puede comprender las deficiencias del proceso de procesamiento, con el fin de realizar cambios oportunos y la optimizaci\u00f3n del proceso de producci\u00f3n, para mejorar la tasa de cuaIicaci\u00f3n del producto.<\/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\/es\/wp-json\/wp\/v2\/posts\/4472","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/en.siasun.com\/es\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/en.siasun.com\/es\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/en.siasun.com\/es\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/en.siasun.com\/es\/wp-json\/wp\/v2\/comments?post=4472"}],"version-history":[{"count":5,"href":"https:\/\/en.siasun.com\/es\/wp-json\/wp\/v2\/posts\/4472\/revisions"}],"predecessor-version":[{"id":6121,"href":"https:\/\/en.siasun.com\/es\/wp-json\/wp\/v2\/posts\/4472\/revisions\/6121"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/en.siasun.com\/es\/wp-json\/wp\/v2\/media\/4475"}],"wp:attachment":[{"href":"https:\/\/en.siasun.com\/es\/wp-json\/wp\/v2\/media?parent=4472"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/en.siasun.com\/es\/wp-json\/wp\/v2\/categories?post=4472"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/en.siasun.com\/es\/wp-json\/wp\/v2\/tags?post=4472"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}