An Intelligent Garbage Sorting System Based on Edge Computing and Visual Understanding of Social Internet of Vehicles

In order to enable Social Internet of Vehicles devices to achieve the purpose of intelligent and autonomous garbage classification in a public environment, while avoiding network congestion caused by a large amount of data accessing the cloud at the same time, it is therefore considered to combine m...

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Main Authors: Xuehao Shen, Yuezhong Wu, Shuhong Chen, Xueming Luo
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:Mobile Information Systems
Online Access:http://dx.doi.org/10.1155/2021/5231092
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spelling doaj-5f3ff3cdc1334ce08176ff07e5543f4d2021-09-13T01:24:02ZengHindawi LimitedMobile Information Systems1875-905X2021-01-01202110.1155/2021/5231092An Intelligent Garbage Sorting System Based on Edge Computing and Visual Understanding of Social Internet of VehiclesXuehao Shen0Yuezhong Wu1Shuhong Chen2Xueming Luo3College of Railway TransportationCollege of Railway TransportationSchool of Computer Science and Cyber EngineeringScholl of Computer ScienceIn order to enable Social Internet of Vehicles devices to achieve the purpose of intelligent and autonomous garbage classification in a public environment, while avoiding network congestion caused by a large amount of data accessing the cloud at the same time, it is therefore considered to combine mobile edge computing with Social Internet of Vehicles to give full play to mobile edge computing features of high bandwidth and low latency. At the same time, based on cutting-edge technologies such as deep learning, knowledge graph, and 5G transmission, the paper builds an intelligent garbage sorting system based on edge computing and visual understanding of Social Internet of Vehicles. First of all, for the massive multisource heterogeneous Social Internet of Vehicles big data in the public environment, different item modal data adopts different processing methods, aiming to obtain a visual understanding model. Secondly, using the 5G network, the model is deployed on the edge device and the cloud for cloud-side collaborative management, aiming to avoid the waste of edge node resources, while ensuring the data privacy of the edge node. Finally, the Social Internet of Vehicles devices is used to make intelligent decision-making on the big data of the items. First, the items are judged as garbage, and then the category is judged, and finally the task of grabbing and sorting is realized. The experimental results show that the system proposed in this paper can efficiently process the big data of Social Internet of Vehicles and make valuable intelligent decisions. At the same time, it also has a certain role in promoting the promotion of Social Internet of Vehicles devices.http://dx.doi.org/10.1155/2021/5231092
collection DOAJ
language English
format Article
sources DOAJ
author Xuehao Shen
Yuezhong Wu
Shuhong Chen
Xueming Luo
spellingShingle Xuehao Shen
Yuezhong Wu
Shuhong Chen
Xueming Luo
An Intelligent Garbage Sorting System Based on Edge Computing and Visual Understanding of Social Internet of Vehicles
Mobile Information Systems
author_facet Xuehao Shen
Yuezhong Wu
Shuhong Chen
Xueming Luo
author_sort Xuehao Shen
title An Intelligent Garbage Sorting System Based on Edge Computing and Visual Understanding of Social Internet of Vehicles
title_short An Intelligent Garbage Sorting System Based on Edge Computing and Visual Understanding of Social Internet of Vehicles
title_full An Intelligent Garbage Sorting System Based on Edge Computing and Visual Understanding of Social Internet of Vehicles
title_fullStr An Intelligent Garbage Sorting System Based on Edge Computing and Visual Understanding of Social Internet of Vehicles
title_full_unstemmed An Intelligent Garbage Sorting System Based on Edge Computing and Visual Understanding of Social Internet of Vehicles
title_sort intelligent garbage sorting system based on edge computing and visual understanding of social internet of vehicles
publisher Hindawi Limited
series Mobile Information Systems
issn 1875-905X
publishDate 2021-01-01
description In order to enable Social Internet of Vehicles devices to achieve the purpose of intelligent and autonomous garbage classification in a public environment, while avoiding network congestion caused by a large amount of data accessing the cloud at the same time, it is therefore considered to combine mobile edge computing with Social Internet of Vehicles to give full play to mobile edge computing features of high bandwidth and low latency. At the same time, based on cutting-edge technologies such as deep learning, knowledge graph, and 5G transmission, the paper builds an intelligent garbage sorting system based on edge computing and visual understanding of Social Internet of Vehicles. First of all, for the massive multisource heterogeneous Social Internet of Vehicles big data in the public environment, different item modal data adopts different processing methods, aiming to obtain a visual understanding model. Secondly, using the 5G network, the model is deployed on the edge device and the cloud for cloud-side collaborative management, aiming to avoid the waste of edge node resources, while ensuring the data privacy of the edge node. Finally, the Social Internet of Vehicles devices is used to make intelligent decision-making on the big data of the items. First, the items are judged as garbage, and then the category is judged, and finally the task of grabbing and sorting is realized. The experimental results show that the system proposed in this paper can efficiently process the big data of Social Internet of Vehicles and make valuable intelligent decisions. At the same time, it also has a certain role in promoting the promotion of Social Internet of Vehicles devices.
url http://dx.doi.org/10.1155/2021/5231092
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