Paper Infomation
Design and Optimization of Smart Factory Architecture Combining IoT and Cloud Computing
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Author: Yinghao Tang
Abstract: The design and optimization of smart factory architectures integrating the Internet of Things (IoT) and cloud computing have emerged as a crucial factor in enhancing the efficiency and agility of modern manufacturing systems. In the context of Industry 4.0, smart factories leverage advanced technologies such as IoT, cloud computing, artificial intelligence (AI), and data analytics to enable real-time decision-making, predictive maintenance, and optimization of resources. This paper presents an overview of a smart factory architecture that combines IoT devices, cloud platforms, and data integration layers to create a flexible, scalable, and efficient manufacturing system. The proposed architecture is designed to enhance operational performance, energy efficiency, and resource management while ensuring system scalability and flexibility to meet changing market demands. Additionally, the paper discusses key optimization techniques, including edge computing, predictive maintenance, and cloud-based analytics, which contribute to the overall effectiveness of smart factory operations. The integration of these technologies promises to deliver significant improvements in productivity, cost savings, and sustainability in manufacturing environments.
Keywords: Smart Factory; IoT; Cloud Computing; Predictive Maintenance; Resource Management; Edge Computing; Data Analytics
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