BOOKS - Artificial Intelligence-Enabled Digital Twin for Smart Manufacturing
Artificial Intelligence-Enabled Digital Twin for Smart Manufacturing - Amit Kumar Tyagi, Shrikant Tiwari, Senthil Kumar Arumugam 2024 PDF Wiley BOOKS
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Artificial Intelligence-Enabled Digital Twin for Smart Manufacturing
Author: Amit Kumar Tyagi, Shrikant Tiwari, Senthil Kumar Arumugam
Year: 2024
Pages: 612
Format: PDF
File size: 54,6 МБ
Language: ENG



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Artificial IntelligenceEnabled Digital Twin for Smart Manufacturing The development of artificial intelligence (AI) has revolutionized many industries, including manufacturing. One such innovation is the use of digital twins in smart manufacturing. AI-enabled digital twin technology allows for real-time monitoring and simulation of production processes, enabling more efficient and effective operations. This technology has the potential to transform the manufacturing industry by improving product quality, reducing costs, and increasing productivity. However, there are also concerns about job loss and the impact on human workers. In this article, we will explore the benefits and challenges of AI-enabled digital twin technology in smart manufacturing and discuss the need for a personal paradigm for understanding its technological evolution. Need for studying the process of technology evolution To understand the significance of AI-enabled digital twin technology in smart manufacturing, it is essential to study the process of technology evolution. The development of digital twin technology has been driven by advances in data analytics, machine learning, and computer power. These advances have enabled the creation of virtual replicas of physical assets, allowing for real-time monitoring and simulation of production processes. As a result, manufacturers can optimize their processes, reduce waste, and improve product quality. The Need for a Personal Paradigm However, as with any new technology, there are challenges associated with the adoption of AI-enabled digital twin technology. One of the most significant challenges is the potential loss of jobs for human workers.
Artificial IntelligenceEnabled Digital Twin for Smart Manufacturing Развитие искусственного интеллекта (ИИ) произвело революцию во многих отраслях, включая производство. Одно из таких нововведений - использование цифровых двойников в умном производстве. Технология цифровых двойников с поддержкой искусственного интеллекта позволяет осуществлять мониторинг и моделирование производственных процессов в режиме реального времени, обеспечивая более эффективные и действенные операции. Эта технология может трансформировать обрабатывающую промышленность за счет повышения качества продукции, снижения затрат и повышения производительности. Тем не менее, есть также опасения по поводу потери работы и воздействия на работников. В этой статье мы рассмотрим преимущества и проблемы технологии цифрового двойника с поддержкой ИИ в умном производстве и обсудим необходимость персональной парадигмы для понимания ее технологической эволюции. Необходимость изучения процесса эволюции технологий Чтобы понять значение технологии цифровых двойников с поддержкой ИИ в умном производстве, необходимо изучить процесс эволюции технологий. Развитие технологии цифровых двойников было обусловлено достижениями в области аналитики данных, машинного обучения и компьютерных мощностей. Эти усовершенствования позволили создавать виртуальные точные копии физических активов, позволяя осуществлять мониторинг и моделирование производственных процессов в режиме реального времени. В результате производители могут оптимизировать свои процессы, сократить отходы и улучшить качество продукции. Потребность в личной парадигме Однако, как и в случае с любой новой технологией, существуют проблемы, связанные с внедрением технологии цифрового двойника с поддержкой искусственного интеллекта. Одной из наиболее значительных проблем является потенциальная потеря рабочих мест для работников.
Intelligence artificielleEnabled Digital Twin for Smart Manufacturing développement de l'intelligence artificielle (IA) a révolutionné de nombreux secteurs, dont la fabrication. L'une de ces innovations est l'utilisation de doubles numériques dans la production intelligente. La technologie des jumeaux numériques avec intelligence artificielle permet la surveillance et la modélisation des processus de production en temps réel, ce qui permet des opérations plus efficaces et efficientes. Cette technologie peut transformer l'industrie manufacturière en améliorant la qualité des produits, en réduisant les coûts et en améliorant la productivité. Cependant, il y a aussi des préoccupations au sujet de la perte d'emploi et de l'impact sur les travailleurs. Dans cet article, nous allons discuter des avantages et des défis de la technologie numérique double avec le soutien de l'IA dans la production intelligente et discuter de la nécessité d'un paradigme personnel pour comprendre son évolution technologique. La nécessité d'étudier le processus d'évolution des technologies Pour comprendre l'importance de la technologie des doubles numériques assistés par l'IA dans la production intelligente, il faut étudier le processus d'évolution des technologies. L'évolution de la technologie des doubles numériques a été motivée par les progrès de l'analyse des données, de l'apprentissage automatique et de la capacité informatique. Ces améliorations ont permis de créer des copies virtuelles et précises des actifs physiques, ce qui a permis de surveiller et de modéliser les processus de production en temps réel. En conséquence, les fabricants peuvent optimiser leurs processus, réduire les déchets et améliorer la qualité des produits. besoin d'un paradigme personnel Cependant, comme pour toute nouvelle technologie, il y a des problèmes liés à la mise en œuvre de la technologie du double numérique avec l'intelligence artificielle. L'un des problèmes les plus importants est la perte potentielle d'emplois pour les travailleurs.
Inteligencia ArtificialActivado Digital Twin for Smart Manufacturing desarrollo de la inteligencia artificial (IA) ha revolucionado muchas industrias, incluida la manufactura. Una de estas innovaciones es el uso de dobles digitales en la fabricación inteligente. La tecnología digital dual con soporte de inteligencia artificial permite monitorizar y simular los procesos de producción en tiempo real, proporcionando operaciones más eficientes y eficientes. Esta tecnología puede transformar la industria manufacturera mejorando la calidad del producto, reduciendo los costos y aumentando la productividad. n embargo, también hay preocupación por la pérdida de empleo y el impacto en los trabajadores. En este artículo abordaremos las ventajas y desafíos de la tecnología digital dual con soporte de IA en la producción inteligente y discutiremos la necesidad de un paradigma personal para entender su evolución tecnológica. Necesidad de estudiar el proceso de evolución de la tecnología Para comprender la importancia de la tecnología digital dual con soporte de IA en la producción inteligente, es necesario estudiar el proceso de evolución de la tecnología. desarrollo de la tecnología digital dual se debió a los avances en análisis de datos, aprendizaje automático y capacidad informática. Estas mejoras han permitido la creación de copias virtuales y precisas de los activos físicos, permitiendo la supervisión y simulación de los procesos de producción en tiempo real. Como resultado, los fabricantes pueden optimizar sus procesos, reducir los residuos y mejorar la calidad del producto. La necesidad de un paradigma personal n embargo, como en el caso de cualquier nueva tecnología, hay problemas relacionados con la introducción de la tecnología dual digital con soporte de inteligencia artificial. Uno de los problemas más significativos es la posible pérdida de puestos de trabajo para los trabajadores.
Artigial IntelligenceEnabled Digital Twin for Smart Manufacturing Lo sviluppo dell'intelligenza artificiale (IA) ha rivoluzionato molti settori, tra cui la produzione. Una di queste innovazioni è l'uso di doppioni digitali nella produzione intelligente. La tecnologia dei doppioni digitali con intelligenza artificiale consente di monitorare e modellare i processi di produzione in tempo reale, garantendo operazioni più efficienti ed efficienti. Questa tecnologia può trasformare l'industria manifatturiera migliorando la qualità dei prodotti, riducendo i costi e migliorando la produttività. Tuttavia, ci sono anche preoccupazioni per la perdita del lavoro e l'impatto sui lavoratori. In questo articolo affronteremo i vantaggi e i problemi della tecnologia del doppio digitale con il supporto dell'intelligenza artificiale nella produzione intelligente e discuteremo della necessità di un paradigma personale per comprendere la sua evoluzione tecnologica. La necessità di studiare l'evoluzione della tecnologia Per comprendere l'importanza della tecnologia dei doppioni digitali con il supporto dell'intelligenza artificiale nella produzione intelligente, è necessario studiare l'evoluzione della tecnologia. L'evoluzione della tecnologia dei doppioni digitali è dovuta ai progressi compiuti nell'analisi dei dati, nell'apprendimento automatico e nella capacità informatica. Questi miglioramenti hanno consentito di creare copie virtuali precise delle risorse fisiche, consentendo il monitoraggio e la simulazione in tempo reale dei processi di produzione. Di conseguenza, i produttori possono ottimizzare i loro processi, ridurre i rifiuti e migliorare la qualità dei prodotti. Necessità di un paradigma personale Tuttavia, come per ogni nuova tecnologia, ci sono problemi legati all'implementazione di una tecnologia dual digitale che supporta l'intelligenza artificiale. Uno dei problemi più importanti è la potenziale perdita di posti di lavoro per i lavoratori.
Artificial IntelligenceEnabled Digital Twin for Smart Manufacturing Die Entwicklung der künstlichen Intelligenz (KI) hat viele Branchen revolutioniert, auch die Fertigung. Eine dieser Innovationen ist der Einsatz digitaler Zwillinge in der Smart Manufacturing. Die KI-gestützte digitale Zwillingstechnologie ermöglicht die Überwachung und mulation von Produktionsprozessen in Echtzeit und ermöglicht so effizientere und effizientere Abläufe. Diese Technologie hat das Potenzial, die Fertigungsindustrie zu verändern, indem sie die Produktqualität verbessert, die Kosten senkt und die Produktivität erhöht. Es gibt jedoch auch Bedenken hinsichtlich des Verlusts des Arbeitsplatzes und der Auswirkungen auf die Arbeitnehmer. In diesem Artikel werden wir die Vorteile und Herausforderungen der KI-gestützten digitalen Zwillingstechnologie in der intelligenten Produktion untersuchen und die Notwendigkeit eines persönlichen Paradigmas diskutieren, um seine technologische Entwicklung zu verstehen. Die Notwendigkeit, den Prozess der Technologieentwicklung zu untersuchen Um die Bedeutung der KI-gestützten digitalen Zwillingstechnologie in der intelligenten Produktion zu verstehen, muss der Prozess der Technologieentwicklung untersucht werden. Die Entwicklung der digitalen Zwillingstechnologie wurde durch Fortschritte in den Bereichen Datenanalyse, maschinelles rnen und Computerleistung vorangetrieben. Diese Verbesserungen ermöglichten die Erstellung virtueller Replikate physischer Assets und ermöglichten die Überwachung und mulation von Produktionsprozessen in Echtzeit. Dadurch können Hersteller ihre Prozesse optimieren, Abfälle reduzieren und die Produktqualität verbessern. Die Notwendigkeit eines persönlichen Paradigmas Wie bei jeder neuen Technologie gibt es jedoch Herausforderungen bei der Einführung der KI-gestützten digitalen Zwillingstechnologie. Eines der größten Probleme ist der mögliche Verlust von Arbeitsplätzen für Arbeitnehmer.
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Akıllı Üretim için Yapay Zeka Özellikli Dijital İkiz Yapay zekanın (AI) geliştirilmesi, üretim de dahil olmak üzere birçok endüstride devrim yarattı. Böyle bir yenilik, akıllı üretimde dijital ikizlerin kullanılmasıdır. Yapay zeka özellikli dijital ikiz teknolojisi, üretim süreçlerinin gerçek zamanlı olarak izlenmesini ve simülasyonunu sağlayarak daha verimli ve etkili operasyonlar sağlar. Bu teknoloji, ürün kalitesini artırarak, maliyetleri düşürerek ve verimliliği artırarak üretim endüstrisini dönüştürebilir. Bununla birlikte, iş kaybı ve işçiler üzerindeki etkisi konusunda da endişeler var. Bu yazıda, akıllı üretimde yapay zeka özellikli dijital ikiz teknolojisinin yararlarına ve zorluklarına bakıyoruz ve teknolojik evrimini anlamak için kişisel bir paradigmaya duyulan ihtiyacı tartışıyoruz. Teknoloji evrimi sürecini inceleme ihtiyacı Akıllı üretimde yapay zeka özellikli dijital ikiz teknolojisinin önemini anlamak için, teknoloji evrimi sürecini incelemek gerekir. Dijital ikiz teknolojisinin gelişimi, veri analitiği, makine öğrenimi ve bilgisayar gücündeki gelişmelerden kaynaklandı. Bu geliştirmeler, fiziksel varlıkların sanal kopyalarının oluşturulmasını sağlayarak, üretim süreçlerinin gerçek zamanlı izlenmesini ve simülasyonunu sağladı. Sonuç olarak, üreticiler süreçlerini optimize edebilir, atıkları azaltabilir ve ürün kalitesini iyileştirebilir. Bununla birlikte, herhangi bir yeni teknolojide olduğu gibi, AI özellikli dijital ikiz teknolojisinin tanıtımıyla ilgili zorluklar vardır. En önemli sorunlardan biri, işçiler için potansiyel iş kaybıdır.
الذكاء الاصطناعي التوأم الرقمي المعزز للتصنيع الذكي أحدث تطوير الذكاء الاصطناعي (AI) ثورة في العديد من الصناعات، بما في ذلك التصنيع. أحد هذه الابتكارات هو استخدام التوائم الرقمية في التصنيع الذكي. تتيح التكنولوجيا الرقمية المزدوجة المدعومة بالذكاء الاصطناعي المراقبة والمحاكاة في الوقت الفعلي لعمليات التصنيع، مما يتيح عمليات أكثر كفاءة وفعالية. يمكن لهذه التكنولوجيا تحويل الصناعة التحويلية من خلال تحسين جودة المنتج وتقليل التكاليف وزيادة الإنتاجية. ومع ذلك، هناك أيضًا مخاوف بشأن فقدان الوظائف والتأثير على العمال. في هذه المقالة، ننظر إلى فوائد وتحديات التكنولوجيا الرقمية المزدوجة التي تدعم الذكاء الاصطناعي في التصنيع الذكي ونناقش الحاجة إلى نموذج شخصي لفهم تطورها التكنولوجي. الحاجة إلى دراسة عملية التطور التكنولوجي لفهم أهمية التكنولوجيا الرقمية المزدوجة التي تدعم الذكاء الاصطناعي في التصنيع الذكي، من الضروري دراسة عملية تطور التكنولوجيا. كان تطوير التكنولوجيا الرقمية المزدوجة مدفوعًا بالتقدم في تحليلات البيانات والتعلم الآلي وقوة الكمبيوتر. مكنت هذه التحسينات من إنشاء نسخ افتراضية من الأصول المادية، مما أتاح الرصد في الوقت الفعلي ومحاكاة عمليات الإنتاج. نتيجة لذلك، يمكن للمصنعين تحسين عملياتهم وتقليل النفايات وتحسين جودة المنتج. الحاجة إلى نموذج شخصي ومع ذلك، كما هو الحال مع أي تقنية جديدة، هناك تحديات مرتبطة بإدخال تقنية مزدوجة رقمية تدعم الذكاء الاصطناعي. واحدة من أهم المشاكل هي احتمال فقدان الوظائف للعمال.
人工智能數字雙胞胎智能制造人工智能(AI)的發展徹底改變了許多行業,包括制造業。其中一項創新是在智能制造中使用數字雙胞胎。支持人工智能的數字雙胞胎技術允許實時監控和模擬生產過程,從而實現更高效和高效的操作。該技術可以通過提高產品質量,降低成本和提高生產率來改變制造業。然而,人們也擔心失業和對工人的影響。本文將探討人工智能輔助數字雙胞胎技術在智能制造中的優勢和挑戰,並討論個人範式理解其技術演變的必要性。為了了解人工智能輔助數字雙胞胎技術在智能制造中的重要性,有必要研究技術進化的過程。數字雙胞胎技術的發展歸功於數據分析,機器學習和計算機能力的進步。這些改進允許創建物理資產的虛擬精確副本,從而可以實時監控和模擬生產過程。因此,制造商可以優化其工藝,減少浪費並提高產品質量。但是,與任何新技術一樣,引入支持人工智能的數字雙胞胎技術也存在挑戰。最重要的挑戰之一是工人可能失業。

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