RBD: A reference railway big data system model

Weilan Lin; Fanhua Xu; Meng Ma; Ping Wang

doi:10.1007/978-3-030-05755-8_26

RBD: A reference railway big data system model

Weilan Lin, Fanhua Xu, Meng Ma, Ping Wang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

The subway line is complex and involves many departments, resulting in unstandardized storage of relevant data in the Metro department. Data systems between different departments cannot cooperate. In this paper, we propose Railway Large Data Platform (RBD) to standardize the large data of rail transit. A large data platform system is designed to store the complex data of rail transit, which can cope with complex scenes. Taking the construction of rail transit platform in Chongqing as an example, we have made a systematic example.

Original language	English
Title of host publication	Smart Computing and Communication - 3rd International Conference, SmartCom 2018, Proceedings
Editors	Meikang Qiu
Publisher	Springer Verlag
Pages	261-270
Number of pages	10
ISBN (Print)	9783030057541
DOIs	https://doi.org/10.1007/978-3-030-05755-8_26
State	Published - 2018
Externally published	Yes
Event	3rd International Conference on Smart Computing and Communications, SmartCom 2018 - Tokyo, Japan Duration: 10 Dec 2018 → 12 Dec 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11344 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd International Conference on Smart Computing and Communications, SmartCom 2018
Country/Territory	Japan
City	Tokyo
Period	10/12/18 → 12/12/18

Keywords

Anomaly detection
Frequent subgraph mining
Impact graph
Micro-service architecture
Root cause

Access to Document

10.1007/978-3-030-05755-8_26

Cite this

Lin, W., Xu, F., Ma, M., & Wang, P. (2018). RBD: A reference railway big data system model. In M. Qiu (Ed.), Smart Computing and Communication - 3rd International Conference, SmartCom 2018, Proceedings (pp. 261-270). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11344 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-05755-8_26

Lin, Weilan ; Xu, Fanhua ; Ma, Meng et al. / RBD : A reference railway big data system model. Smart Computing and Communication - 3rd International Conference, SmartCom 2018, Proceedings. editor / Meikang Qiu. Springer Verlag, 2018. pp. 261-270 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "RBD: A reference railway big data system model",

abstract = "The subway line is complex and involves many departments, resulting in unstandardized storage of relevant data in the Metro department. Data systems between different departments cannot cooperate. In this paper, we propose Railway Large Data Platform (RBD) to standardize the large data of rail transit. A large data platform system is designed to store the complex data of rail transit, which can cope with complex scenes. Taking the construction of rail transit platform in Chongqing as an example, we have made a systematic example.",

keywords = "Anomaly detection, Frequent subgraph mining, Impact graph, Micro-service architecture, Root cause",

author = "Weilan Lin and Fanhua Xu and Meng Ma and Ping Wang",

note = "Publisher Copyright: {\textcopyright} 2018, Springer Nature Switzerland AG.; 3rd International Conference on Smart Computing and Communications, SmartCom 2018 ; Conference date: 10-12-2018 Through 12-12-2018",

year = "2018",

doi = "10.1007/978-3-030-05755-8_26",

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isbn = "9783030057541",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Lin, W, Xu, F, Ma, M & Wang, P 2018, RBD: A reference railway big data system model. in M Qiu (ed.), Smart Computing and Communication - 3rd International Conference, SmartCom 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11344 LNCS, Springer Verlag, pp. 261-270, 3rd International Conference on Smart Computing and Communications, SmartCom 2018, Tokyo, Japan, 10/12/18. https://doi.org/10.1007/978-3-030-05755-8_26

RBD: A reference railway big data system model. / Lin, Weilan; Xu, Fanhua; Ma, Meng et al.
Smart Computing and Communication - 3rd International Conference, SmartCom 2018, Proceedings. ed. / Meikang Qiu. Springer Verlag, 2018. p. 261-270 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11344 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Ma, Meng

AU - Wang, Ping

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N2 - The subway line is complex and involves many departments, resulting in unstandardized storage of relevant data in the Metro department. Data systems between different departments cannot cooperate. In this paper, we propose Railway Large Data Platform (RBD) to standardize the large data of rail transit. A large data platform system is designed to store the complex data of rail transit, which can cope with complex scenes. Taking the construction of rail transit platform in Chongqing as an example, we have made a systematic example.

AB - The subway line is complex and involves many departments, resulting in unstandardized storage of relevant data in the Metro department. Data systems between different departments cannot cooperate. In this paper, we propose Railway Large Data Platform (RBD) to standardize the large data of rail transit. A large data platform system is designed to store the complex data of rail transit, which can cope with complex scenes. Taking the construction of rail transit platform in Chongqing as an example, we have made a systematic example.

KW - Anomaly detection

KW - Frequent subgraph mining

KW - Impact graph

KW - Micro-service architecture

KW - Root cause

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SN - 9783030057541

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Smart Computing and Communication - 3rd International Conference, SmartCom 2018, Proceedings

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PB - Springer Verlag

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Lin W, Xu F, Ma M, Wang P. RBD: A reference railway big data system model. In Qiu M, editor, Smart Computing and Communication - 3rd International Conference, SmartCom 2018, Proceedings. Springer Verlag. 2018. p. 261-270. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-05755-8_26

RBD: A reference railway big data system model

Abstract

Publication series

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Keywords

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