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Digital Twin For Smart Manufacturing
Engleski
551 b
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Digital Twin For Smart Manufacturing: Emerging Approaches and Applications provides detailed descriptions of how to integrate and optimize novel digital technologies for smart manufacturing. Digital twins combine the industrial internet of things, artificial intelligence, machine learning and software analytics with spatial network graphs to create living digital simulation models that update and change as their physical counterparts change. They also provide an effective way to integrate technologies like cyber-physical systems into a smart manufacturing system, potentially optimizing the entire business process and operating procedure of the manufacturing firm. Drawing on the latest research, this book addresses the topics and technologies key to successful implementation of a smart manufacturing system, including augmented and virtual reality, big data, and energy management. Broader subjects such as additive manufacturing and robotics are also covered in this context, covering every aspect of production. Detailed case studies show how digital twins have been successfully implemented in real life Shows how digital twins can be used to improve sustainability through superior energy usage management Outlines potential future uses of the digital twin, pointing the way for future research directions
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