IoT Approach for Intelligent Data Acquisition for Enabling Digital Twins in the Railway Sector

被引：8

作者：

Errandonea, I ^{[1
,2
]}

Goya, J. ^{[1
,2
]}

Alvarado, U. ^{[1
,2
]}

Beltran, S. ^{[1
,2
,3
]}

Arrizabalaga, S. ^{[1
,2
,3
]}

机构：

[1] CEIT Basque Res & Technol Alliance BRTA, Manuel Lardizabal 15, Donostia San Sebastian 20018, Spain

[2] Univ Navarra, Tecnun, Manuel Lardizabal 13, Donostia San Sebastian 20018, Spain

[3] Univ Navarra, DATAI, Inst Data Sci & Artificial Intelligence, Pamplona, Spain

来源：

2021 INTERNATIONAL SYMPOSIUM ON COMPUTER SCIENCE AND INTELLIGENT CONTROLS (ISCSIC 2021) | 2021年

基金：

欧盟地平线“2020”;

关键词：

Digital twins; Maintenance; Railway; Pantograph catenary interaction; IoT; Damage detection; Asset Health Management;

D O I：

10.1109/ISCSIC54682.2021.00039

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The concept of Digital Twin (DT) is an emerging technology in several industries. Applications such as predictive maintenance make technologies such as IoT (Internet of Things) essential. The main objective of this paper is to present a new approach based on IoT technology for intelligent data acquisition for the generation of a DT in the railway industry. This approach is proposed to support the SIA European H2020 project, which aims to provide an on-board system for maintenance prediction in passenger trains. For instance, a detailed description of the system requirements, communication technologies and functionalities adopted by the presented proposal is made. In addition, the conclusions and future work on the project are identified.

引用

页码：164 / 168

页数：5

共 7 条

[1] Wireless Sensor Networks for Condition Monitoring in the Railway Industry: A Survey [J].