Exploration of Intelligent Manufacturing Methods for Complex Products Driven by Multisource Data

In order to improve the multisource data-driven fusion effect in the intelligent manufacturing process of complex products, based on the proposed adaptive fog computing architecture, this paper takes into account the efficient processing of complex product intelligent manufacturing services within t...

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Main Author: Lei Zhang
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Advances in Multimedia
Online Access:http://dx.doi.org/10.1155/2022/2452533
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author Lei Zhang
author_facet Lei Zhang
author_sort Lei Zhang
collection DOAJ
description In order to improve the multisource data-driven fusion effect in the intelligent manufacturing process of complex products, based on the proposed adaptive fog computing architecture, this paper takes into account the efficient processing of complex product intelligent manufacturing services within the framework and the rational utilization of fog computing layer resources to establish a fog computing resource scheduling model. Moreover, this paper proposes a fog computing architecture for intelligent manufacturing services for complex products. The architecture adopts a three-layer fog computing framework, which can reasonably provide three types of services in the field of intelligent manufacturing. In addition, this study combines experimental research to verify the intelligent model of this article and counts the experimental results. From the analysis of experimental data, it can be seen that the complex product intelligent manufacturing system based on multisource data driven proposed in this paper meets the data fusion requirements of complex product intelligent manufacturing.
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institution Kabale University
issn 1687-5699
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series Advances in Multimedia
spelling doaj-art-98d4e9de4b2f4859a0835729d1716fe02025-08-20T03:37:23ZengWileyAdvances in Multimedia1687-56992022-01-01202210.1155/2022/2452533Exploration of Intelligent Manufacturing Methods for Complex Products Driven by Multisource DataLei Zhang0Electrical Engineering DepartmentIn order to improve the multisource data-driven fusion effect in the intelligent manufacturing process of complex products, based on the proposed adaptive fog computing architecture, this paper takes into account the efficient processing of complex product intelligent manufacturing services within the framework and the rational utilization of fog computing layer resources to establish a fog computing resource scheduling model. Moreover, this paper proposes a fog computing architecture for intelligent manufacturing services for complex products. The architecture adopts a three-layer fog computing framework, which can reasonably provide three types of services in the field of intelligent manufacturing. In addition, this study combines experimental research to verify the intelligent model of this article and counts the experimental results. From the analysis of experimental data, it can be seen that the complex product intelligent manufacturing system based on multisource data driven proposed in this paper meets the data fusion requirements of complex product intelligent manufacturing.http://dx.doi.org/10.1155/2022/2452533
spellingShingle Lei Zhang
Exploration of Intelligent Manufacturing Methods for Complex Products Driven by Multisource Data
Advances in Multimedia
title Exploration of Intelligent Manufacturing Methods for Complex Products Driven by Multisource Data
title_full Exploration of Intelligent Manufacturing Methods for Complex Products Driven by Multisource Data
title_fullStr Exploration of Intelligent Manufacturing Methods for Complex Products Driven by Multisource Data
title_full_unstemmed Exploration of Intelligent Manufacturing Methods for Complex Products Driven by Multisource Data
title_short Exploration of Intelligent Manufacturing Methods for Complex Products Driven by Multisource Data
title_sort exploration of intelligent manufacturing methods for complex products driven by multisource data
url http://dx.doi.org/10.1155/2022/2452533
work_keys_str_mv AT leizhang explorationofintelligentmanufacturingmethodsforcomplexproductsdrivenbymultisourcedata