Research on Technical Framework of Intelligent Maintenance & Supportfor Heavy-haul Railway

In recent years, with the emergence and popularization of a series of new intelligent technologies such as cloud computing, big data, IoT, mobile internet and artificial intelligence, how to use resources comprehensively and efficiently to realize comprehensive perception, ubiquitous interconnection...

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Main Authors: ZHANG Bin, LI Fei, WANG Duo, LYU Gexing, WANG Dalong
Format: Article
Language:zho
Published: Editorial Office of Control and Information Technology 2021-01-01
Series:Kongzhi Yu Xinxi Jishu
Subjects:
Online Access:http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2021.05.006
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author ZHANG Bin
LI Fei
WANG Duo
LYU Gexing
WANG Dalong
author_facet ZHANG Bin
LI Fei
WANG Duo
LYU Gexing
WANG Dalong
author_sort ZHANG Bin
collection DOAJ
description In recent years, with the emergence and popularization of a series of new intelligent technologies such as cloud computing, big data, IoT, mobile internet and artificial intelligence, how to use resources comprehensively and efficiently to realize comprehensive perception, ubiquitous interconnection, fusion processing, active learning and scientific decision-making of information among railway heavy-haul trains, mobile equipment, fixed infrastructure and internal and external environments, to provide guarantee for the safe and stable operation of heavy haul combined trains on the railway, becomes an important topic at present. This article analyzes the current status of locomotive operation and maintenance of heavy-haul railway, designs an intelligent maintenance and support system for railway based on the six sectors of smart perception, smart diagnosis, smart detection, smart evaluation, smart maintenance and smart security. It analyzes and looks forward to the key breakthrough technologies such as "multi-sensor fusion based on vehicle internet of things" and "fault diagnosis based on shallow knowledge and deep knowledge model" in the transformation to "intelligent service" and puts forward some ideas for the intelligent construction of smart railway series in the future.
format Article
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institution Kabale University
issn 2096-5427
language zho
publishDate 2021-01-01
publisher Editorial Office of Control and Information Technology
record_format Article
series Kongzhi Yu Xinxi Jishu
spelling doaj-art-87713565bd3a4f23b8b15a614db7c3c22025-08-25T06:52:58ZzhoEditorial Office of Control and Information TechnologyKongzhi Yu Xinxi Jishu2096-54272021-01-0138333882318304Research on Technical Framework of Intelligent Maintenance & Supportfor Heavy-haul RailwayZHANG BinLI FeiWANG DuoLYU GexingWANG DalongIn recent years, with the emergence and popularization of a series of new intelligent technologies such as cloud computing, big data, IoT, mobile internet and artificial intelligence, how to use resources comprehensively and efficiently to realize comprehensive perception, ubiquitous interconnection, fusion processing, active learning and scientific decision-making of information among railway heavy-haul trains, mobile equipment, fixed infrastructure and internal and external environments, to provide guarantee for the safe and stable operation of heavy haul combined trains on the railway, becomes an important topic at present. This article analyzes the current status of locomotive operation and maintenance of heavy-haul railway, designs an intelligent maintenance and support system for railway based on the six sectors of smart perception, smart diagnosis, smart detection, smart evaluation, smart maintenance and smart security. It analyzes and looks forward to the key breakthrough technologies such as "multi-sensor fusion based on vehicle internet of things" and "fault diagnosis based on shallow knowledge and deep knowledge model" in the transformation to "intelligent service" and puts forward some ideas for the intelligent construction of smart railway series in the future.http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2021.05.006big dataartificial intelligenceintelligentmaintenance guaranteeheavy-haul railway
spellingShingle ZHANG Bin
LI Fei
WANG Duo
LYU Gexing
WANG Dalong
Research on Technical Framework of Intelligent Maintenance & Supportfor Heavy-haul Railway
Kongzhi Yu Xinxi Jishu
big data
artificial intelligence
intelligent
maintenance guarantee
heavy-haul railway
title Research on Technical Framework of Intelligent Maintenance & Supportfor Heavy-haul Railway
title_full Research on Technical Framework of Intelligent Maintenance & Supportfor Heavy-haul Railway
title_fullStr Research on Technical Framework of Intelligent Maintenance & Supportfor Heavy-haul Railway
title_full_unstemmed Research on Technical Framework of Intelligent Maintenance & Supportfor Heavy-haul Railway
title_short Research on Technical Framework of Intelligent Maintenance & Supportfor Heavy-haul Railway
title_sort research on technical framework of intelligent maintenance amp supportfor heavy haul railway
topic big data
artificial intelligence
intelligent
maintenance guarantee
heavy-haul railway
url http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2021.05.006
work_keys_str_mv AT zhangbin researchontechnicalframeworkofintelligentmaintenanceampsupportforheavyhaulrailway
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AT wangduo researchontechnicalframeworkofintelligentmaintenanceampsupportforheavyhaulrailway
AT lyugexing researchontechnicalframeworkofintelligentmaintenanceampsupportforheavyhaulrailway
AT wangdalong researchontechnicalframeworkofintelligentmaintenanceampsupportforheavyhaulrailway