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信息工程期刊

《信息工程期刊》是一本关注信息工程领域最新进展的开源国际学术期刊。本刊采用开放获取模式,报道信息工程学科领域的最新科研成果,旨在反映学术前沿进展及水平,促进学术交流,为国内外该领域的学者、科研人员提供一个良好的交流平台,以推进信息工程理论、应用和技术的发展。本刊可接收中、英文稿件,但中文稿件要有详细的英文标题、作者、单位、摘要和关键词。初次投稿请按照稿件模板排版后在线投稿。录用稿件首先刊发在期刊网站上,然后由Ivy Publisher出版公司高质量…… 【更多】 《信息工程期刊》是一本关注信息工程领域最新进展的开源国际学术期刊。本刊采用开放获取模式,报道信息工程学科领域的最新科研成果,旨在反映学术前沿进展及水平,促进学术交流,为国内外该领域的学者、科研人员提供一个良好的交流平台,以推进信息工程理论、应用和技术的发展。

本刊可接收中、英文稿件,但中文稿件要有详细的英文标题、作者、单位、摘要和关键词。初次投稿请按照稿件模板排版后在线投稿。录用稿件首先刊发在期刊网站上,然后由Ivy Publisher出版公司高质量出版,面向全球公开发行。因此,要求所有来稿均不涉密,文责自负。

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ISSN Online:2167-0226

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Paper Infomation

Design and Optimization of Smart Factory Architecture Combining IoT and Cloud Computing

Full Text(PDF, 60KB)

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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